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1
Candra, Devilia Dwi, Khoirunisa Jannatuzzahra, Annisa Dita Putri Kartika, Widya Pratiwi, and Eni Nurhayati. "Analisis Penggunaan Fitur Vicon (Video Conference) pada E-Learning Ilmu Terhadap Kelancaran Pembelajaran Daring Di Fakultas Ilmu Komputer UPN Veteran Jawa Timur." Journal Software, Hardware and Information Technology 4, no. 2 (2024): 18–26. http://dx.doi.org/10.24252/shift.v4i2.137.
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Online learning has become an integral part of higher education in today's digital era, especially following the COVID-19 pandemic. Video conferencing (Vicon) technology plays a crucial role in this transition, enabling direct interaction between teachers and students without the need for physical presence in the classroom. This study aims to analyze the use of Vicon features in the context of online learning and its impact on the smoothness of the learning process. Data were collected through a questionnaire administered to students of the Faculty of Computer Science at UPN Veteran Jawa Timur, with the System Usability Scale (SUS) method employed for calculation. The collected data were then qualitatively analyzed to determine the effectiveness of Vicon use by identifying usage patterns, obstacles faced, and student perceptions of its impact on the learning process. Analysis of the SUS scores, usage patterns, challenges, and student perceptions revealed a low average SUS value. This indicates that while Vicon facilitates direct interaction and effective material delivery, there are still significant technical obstacles and low participation rates. These findings suggest the need for improvements in the technical aspects of Vicon and strategies to increase student engagement in online learning environments.
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Achermann, Basil, Katja Oberhofer, Stephen J. Ferguson, and Silvio R. Lorenzetti. "Velocity-Based Strength Training: The Validity and Personal Monitoring of Barbell Velocity with the Apple Watch." Sports 11, no. 7 (2023): 125. http://dx.doi.org/10.3390/sports11070125.
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Velocity-based training (VBT) is a method to monitor resistance training based on measured kinematics. Often, measurement devices are too expensive for non-professional use. The purpose of this study was to determine the accuracy and precision of the Apple Watch 7 and the Enode Pro device for measuring mean, peak, and propulsive velocity during the free-weighted back squat (in comparison to Vicon as the criterion). Velocity parameters from Vicon optical motion capture and the Apple Watch were derived by processing the motion data in an automated Python workflow. For the mean velocity, the barbell-mounted Apple Watch (r = 0.971–0.979, SEE = 0.049), wrist-worn Apple Watch (r = 0.952–0.965, SEE = 0.064) and barbell-mounted Enode Pro (r = 0.959–0.971, SEE = 0.059) showed an equal level of validity. The barbell-mounted Apple Watch (Vpeak: r = 0.952–0.965, SEE = 0.092; Vprop: r = 0.973–0.981, SEE = 0.05) was found to be the most valid for assessing propulsive and peak lifting velocity. The present results on the validity of the Apple Watch are very promising, and may pave the way for the inclusion of VBT applications in mainstream consumer wearables.
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Kennelly, S., G. Harte, and A. Boran. "62 GAITKEEPER- A NOVEL ARTIFICIAL INTELLIGENCE BASED VIDEO GAIT ANALYSIS SYSTEM TO OBJECTIVELY MEASURE HEALTH STATUS." Age and Ageing 50, Supplement_3 (2021): i1—i8. http://dx.doi.org/10.1093/ageing/afab216.62.
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Abstract Background Frailty is associated with increased risk of falls, dependency, disability and higher health and social care utilisation. While characterised by a slowly progressive functional deterioration, frailty can be delayed or reversed through timely intervention. Identification of those at risk of new or worsening frailty remains a challenge. How fast we walk (gait-speed) is a reliable correlate of one’s physical, psychological, and cognitive performance. Slow gait speed can discriminate those at high risk of adverse outcomes due to declining health, however current gait-speed assessment instruments are often not feasible in clinical or community settings due to cost, specialist training, and space requirements. Here we introduce GaitKeeper, a system that uses artificial intelligence (AI) to measure gait and step events from video recorded on a mobile phone, thus facilitating identification of those at risk of new or worsening frailty. Methods A technical evaluation, in a research setting (n = 30), compared GaitKeeper’s performance capturing accurate positional data in healthy young individuals, versus the Vicon camera motion-capture system as the verification standard. A subsequent clinical evaluation in people with mild cognitive impairment (n = 30), within an acute hospital, compared GaitKeeper gait speed data with specialist-physiotherapist clinical observational studies, and GaitRite systems during five-meter walking under single and dual-task conditions. Comprehensive measures of frailty (SHARE-FI), cognition (RBANS, MoCA), and physical performance (MiniBEST) were recorded in this clinical evaluation. Results The technical evaluation provides evidence of the ability of GaitKeeper to capture accurate gait data from video (n = 30, p < 0.001, error < 3%) versus the Vicon system. The clinical evaluation provides evidence of the accuracy in comparison with the GaitRite gold standard (n = 30, P < 0.001, error < 6%) in clinical setting. Conclusion GaitKeeper performance was well validated in comparison to existing gait analysis practices. This innovative AI based solution provides an opportunity to longitudinally monitor and quantify ‘wellness’ in older persons with accessible, accurate gait performance measurements anytime, anywhere, by anyone.
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Shmelev, Valeriy Viktorovich, O. I. Vorontsova, L. A. Goncharova, and M. D. Rasulov. "The electrophysiological criteria for the effectiveness of the treatment of idiopathic scoliosis with the use of the Sheno corset and acupuncture." Russian Journal of Physiotherapy, Balneology and Rehabilitation 15, no. 6 (2016): 301–4. http://dx.doi.org/10.18821/1681-3456-2016-15-6-301-304.
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This article was designed to present the results of the evaluation of the effectiveness of the combined conservative treatment of grade II and III idiopathic scoliosis in 37 patients at the age from 12 to 16 years with the use of the Sheno corset, acupuncture, and therapeutic physical exercises. The evaluation was based on the study of dynamic and electromyographic characteristics and the data obtained before, during and after the treatment with the help of the diagnostic Vicon T40 motion capture system. The study has demonstrated the changes in the nervous-muscular apparatus of the skeletal muscles, such as a significant increase of conductivity, that developed under effect of the treatment. They confirm the effectiveness of the proposed therapeutic modality.
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Leová, Lýdie, Petr Volf, Patrik Kutílek, et al. "EVALUATION AND TYPES OF ATTACKS WITH STABBING WEAPONS FOR THE DESIGN OF PROTECTIVE EQUIPMENT." Lékař a technika - Clinician and Technology 51, no. 1-4 (2021): 71–75. http://dx.doi.org/10.14311/ctj.2021.1.11.
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Knife attacks have become a global problem in recent years, especially in countries where access to firearms is limited. However, the current situation is that the method of selection and characteristics of protective equipment about the physical attributes of stabbing attacks is not systematically determined. Attacks with stab weapons can be divided according to the weapon's grip, the angle of the attack, and its execution into six different attacks (e.g., underarm action stab, overarm action stab, etc.). Our work presents a survey of methods for capturing and then evaluating the physical parameters of point attacks in specific motion capture and analysis programs. In this work, kinematic analysis was used to analyze motion during a stabbing attack and to obtain data on the kinetic energy of the stab. The measurements were performed with the MoCap system - Vicon Nexus 2.70. The results of the study show that the average value for the straight stab and the underarm stab is almost the same (66.5–67.1 J), while the overarm stab reaches a much higher value (92.8 J). The study aims to determine the kinetic energy of types of attacks, for standards state the level of protection based on energy levels. The results could provide new insights into the current state of protective equipment and energy values in national/international standards.
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Wu, Yong. "Biomechanical analysis of martial arts movements: Implications for performance and injury prevention." Molecular & Cellular Biomechanics 22, no. 5 (2025): 1314. https://doi.org/10.62617/mcb1314.
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Martial arts have their origins in a variety of cultural traditions that represent a wide range of combat practices and disciplines. Martial arts encompass a variety of practices, extending from ancient traditions such as kung fu and karate to more modern forms like Brazilian jiu-jitsu. The martial arts practitioners engage in the cultivation of self-defense techniques, the enhancement of physical fitness, and the demonstration of profound concepts that transcend the boundaries of the physical domain. Ensuring the safety and efficacy of practitioners is achieved by comprehensive training, increased awareness, devotion to proper techniques, and maintenance of physical fitness. In this study, we gathered primary data from 75 skilled football players with varied training provided for comprehensive football kicking analysis. The research employed the VICON MX40, a three-dimensional (3D) motion-capture system with nine cameras. The system recorded motion at a rate of 200 frames per second. The study aimed to examine the 3D movements observed in adolescent sports through the construction of biomechanical models. This analysis enabled the identification of many risk variables associated with repetitive stress injuries (RSIs). We propose preventative strategies for reducing injuries caused by RSI among young individuals. These strategies encompass specific stretching exercises, dynamic warm-up routines, the restriction of intense movements, and the promotion of sufficient recovery periods. The utilization of biomechanical modeling plays a significant part in the prediction and optimization of strategies designed for minimizing the various elements that contribute to muscular RSIs throughout the process of motor skill acquisition and training.
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Błażkiewicz, Michalina, Barbara Łysoń, Adam Chmielewski, and Andrzej Wit. "Transfer of mechanical energy during the shot put." Journal of Human Kinetics 52, no. 1 (2016): 139–46. http://dx.doi.org/10.1515/hukin-2016-0001.
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Abstract The aim of this study was to analyse transfer of mechanical energy between body segments during the glide shot put. A group of eight elite throwers from the Polish National Team was analysed in the study. Motion analysis of each throw was recorded using an optoelectronic Vicon system composed of nine infrared camcorders and Kistler force plates. The power and energy were computed for the phase of final acceleration of the glide shot put. The data were normalized with respect to time using the algorithm of the fifth order spline and their values were interpolated with respect to the percentage of total time, assuming that the time of the final weight acceleration movement was different for each putter. Statistically significant transfer was found in the study group between the following segments: Right Knee – Right Hip (p = 0.0035), Left Hip - Torso (p = 0.0201), Torso – Right Shoulder (p = 0.0122) and Right Elbow – Right Wrist (p = 0.0001). Furthermore, the results of cluster analysis showed that the kinetic chain used during the final shot acceleration movement had two different models. Differences between the groups were revealed mainly in the energy generated by the hips and trunk.
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Nagorna, Viktoriia, Basil Achermann, Artur Mytko, and Silvio Lorenzetti. "Pilot study: Insights into the validity of Opencap to assess knee kinematics during the back squat." Current Issues in Sport Science (CISS) 9, no. 2 (2024): 063. http://dx.doi.org/10.36950/2024.2ciss063.
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Introduction
 Advancements in technology have revolutionized the field of sports science, enabling researchers to gain deeper insights into the biomechanics of athletes' movements (Baca et al., 2022). Among these technological advancements, OpenCap has emerged as a powerful tool for biomechanical analysis (Uhlrich et al., 2023). Integrating OpenCap with other innovative technologies, such as motion capture systems and data analytics, further enhances the understanding of human movement. However, the effective implementation of new technologies requires rigorous scientific validation and a nuanced approach to their comparison with already established techniques. The primary goal of this research is to establish basic characteristics for comparing biomechanical analysis results obtained from OpenCap and VICON.
 Methods
 A total of 3 healthy 23-29-year-old women with a minimum of one year of experience in strength training were recruited for the study. For OpenCap (opensimModel: LaiArnoldModified2017_poly_withArms_weldHand, posemodel: openpose, augmentermodel: v0.2), the system paired cameras of two iOS devices with a web app running on a standard laptop recording videos at 60Hz. A VICON system consisting of 10 cameras (200 Hz, Oxford Metrics Group, Oxford UK) was used for 3D motion analysis. The Plug-In Gait marker set (from the VICON system), comprising 42 markers with a diameter of 16mm, was employed along with two manual markers for tracking the barbell position. Ground reaction forces were measured using two force plates (1000 Hz, Kistler AG, Winterthur, CH). The collected data served as reference data for scaling the models and running OpenSim simulations. Barbell loads were adjusted based on body weight, with loads of 25% or 50% for the free-weight back squat. Each exercise consisted of three cycles of five repetitions, enabling subsequent calculation of average values for further analysis and evaluation.
 Results
 The analysis incorporated 22 valid squats. Statistical mapping revealed significant discrepancies in knee angles between Opencap and the OpenSim model throughout most of the back squat cycle, except from 10 to 35%. The average difference was 16.9 degrees (SD = 18.3 degrees). An RMSE of 24.9 and an ICC 3.1 of 0.503 (p = 0.006076) suggest moderate agreement between the models.
 Discussion/Conclusion
 Ongoing technological advancements are pushing the frontiers of sport biomechanics through groundbreaking innovations. To achieve a comprehensive assessment and comparison of new technologies, it is vital to perform correlation analyses on identical parameters produced by diverse models (Jing et al., 2023). The ICC results indicated a moderate agreement between the models, with the OpenCap model significantly underestimating knee angles. This lesser agreement, as compared to existing literature (Lima et al., 2023), may be attributed to the potential misinterpretation of the barbell by the model. Pending updates from the forthcoming augmenter model v0.3, we advise cautious application of Opencap technology in practical scenarios. However, we believe that with further technological advancement and continued refinement, it has the potential to greatly benefit the field of sports biomechanics.
 References
 Baca, A., Dabnichki, P., Hu, C. W., Kornfeind, P., & Exel, J. (2022). Ubiquitous computing in sports and physical activity—Recent trends and developments. Sensors, 22(21), Article 8370. https://www.mdpi.com/1424-8220/22/21/8370
 Jing, Z., Han, J., & Zhang, J. (2023). Comparison of biomechanical analysis results using different musculoskeletal models for children with cerebral palsy. Frontiers in Bioengineering and Biotechnology, 11, Article 1217918. https://doi.org/10.3389/fbioe.2023.1217918
 Lima, Y., Collings, T., Hall, M., Bourne, M., Diamond, L. (2023). Assessing lower-limb kinematics via OpenCap during dynamic tasks relevant to anterior cruciate ligament injury: A validity study. Journal of Science and Medicine in Sport, 26(Suppl2), S105. https://doi.org/10.1016/j.jsams.2023.08.123
 Uhlrich, S. D., Falisse, A., Kidziński, Ł., Muccini, J., Ko, M., Chaudhari, A. S., Hicks, J. L., & Delp, S. L. (2023). OpenCap: Human movement dynamics from smartphone videos. PLoS Computational Biology, 19(10), Article e1011462. https://doi.org/10.1371/journal.pcbi.1011462
 Acknowledgement
 This study was funded by the Swiss National Foundation (192289).
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López Elvira, Jose Luis, Diego López Plaza, Alejandro López Valenciano, and Carolina Alonso Montero. "Influencia del calzado en el movimiento del pie durante la marcha y la carrera en niños y niñas de 6 y 7 años (Influence of footwear on foot movement during walking and running in boys and girls aged 6-7)." Retos, no. 31 (November 12, 2016): 128–32. http://dx.doi.org/10.47197/retos.v0i31.47258.
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La elección del calzado infantil durante el desarrollo del niño/a puede ser determinante en la aparición o prevención de problemas asociados con el pie por las diferentes características intrínsecas de los niños. Por ello, el objetivo del presente trabajo fue evaluar los movimientos del pie durante el apoyo en marcha y carrera con y sin calzado. Participaron 12 niños y 12 niñas de primaria. El sistema de captura del movimiento Vicon fue utilizado para obtener variables cinemáticas del movimiento del pie. Los resultados mostraron una reducción significativa en la flexión en la articulación metatarsofalángica con calzado en ambos géneros y en ambas habilidades de en torno a 20º (p < .05 y tamaño del efecto alto), pudiendo asociarse a un mecanismo de protección. Así mismo se constató un aumento de la velocidad de caída del pie en carrera con calzado, especialmente en chicas, al contrario de la marcha, posiblemente por cambios en la técnica de pisada y/o características propias del calzado según el género. Por último, se encontró un desajuste en el eje de flexión de los metatarsos de aproximadamente 1 cm hacia la parte anterior del pie con calzado (p < .05 y tamaño del efecto alto), lo que lleva a recomendar que el diseño del calzado se ajuste con más precisión a la población que lo utiliza.Abstract. The choice of children's shoes can be decisive in the appearance or prevention of problems associated with children’s feet individual characteristics. Therefore, the aim of this study was to evaluate foot movements during the support phase of walking and running gait, with and without shoes. Twenty-four primary school students (12 boys and 12 girls) participated in the study. Vicon 3D motion analysis system was used to obtain foot kinematic variables. Results showed a significant decrease in the flexion of metatarsophalangeal joint with shoes in both genders in walking and running around 20º (p < .05 and high effect size), which can be associated with a protection mechanism. We also found an increased foot fall speed when running with shoes, especially in girls, but not in walking gait, probably due to changes in the technique and/or characteristics of the shoes according to gender. Finally, data show a 1-cm forward displacement of the metatarsal flexion axis with shoes (p < .05 and high effect size), which suggests that shoes design should be more accurately adapted to children population.
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Forczek, Wanda, and Robert Staszkiewicz. "An Evaluation of Symmetry in the Lower Limb Joints During the Able-Bodied Gait of Women and Men." Journal of Human Kinetics 35, no. 1 (2012): 47–57. http://dx.doi.org/10.2478/v10078-012-0078-5.
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For many years, mainly to simplify data analysis, scientists assumed that during a gait, the lower limbs moved symmetrically. However, even a cursory survey of the more recent literature reveals that the human walk is symmetrical only in some aspects. That is why the presence of asymmetry should be considered in all studies of locomotion. The gait data were collected using the 3D motion analysis system Vicon. The inclusion criteria allowed the researchers to analyze a very homogenous group, which consisted of 54 subjects (27 women and 27 men). Every selected participant moved at a similar velocity: approximately 1,55 m/s. The analysis included kinematic parameters defining spatio-temporal structure of locomotion, as well as angular changes of the main joints of the lower extremities (ankle, knee and hip) in the sagittal plane. The values of those variables were calculated separately for the left and for the right leg in women and men. This approach allowed us to determine the size of the differences, and was the basis for assessing gait asymmetry using a relative asymmetry index, which was constructed by the authors. Analysis of the results demonstrates no differences in the temporal and phasic variables of movements of the right and left lower limb. However, different profiles of angular changes in the sagittal plane were observed, measured bilaterally for the ankle joint.
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Shan, Gongbing, and Peter Visentin. "A Quantitative Three-dimensional Analysis of Arm Kinematics in Violin Performance." Medical Problems of Performing Artists 18, no. 1 (2003): 3–10. http://dx.doi.org/10.21091/mppa.2003.1002.
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Overuse syndrome (OS) resulting from repetitive motion affects a significant percentage of performing musicians. Particularly susceptible to OS, violinists use different kinds of muscle control patterns in the right and left limbs and must assume a complex asymmetrical posture to hold and play the instrument. There is a clear need for developing efficient and effective strategies to prevent OS in violinists, keeping biological loads under physiological limits and focusing on physical economy during training. The first step in developing such strategies requires quantitative kinematic description of the motions involved in violin performance. This study supplies such information for the arms and violin bow. The motions of eight professional violinists and three advanced university music students were captured using a nine-camera VICON V8i motion capture system. Each performed a fundamental control skill employing all four strings of the violin. The data were analyzed using quantitative model comparison and statistical analysis. The results of this study show parameters such as elbow height normalized by body height and shoulder and elbow joint motion to have highly consistent patterns between the subjects. Wrist control patterns varied widely. Playing on different strings influences right arm patterns significantly, but not left. This is the first study providing quantitative 3-D kinematic data on shoulders, elbows, wrists, and bow. It provides a foundation for further exploration of the kinematic characteristics of violin performance, for the examination of the potential causes of OS, and for an evaluation of practices that might minimize injuries.
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Li, Hai Ge. "Technical analysis and simulation of dance movements based on biomechanical theory." Molecular & Cellular Biomechanics 22, no. 5 (2025): 1500. https://doi.org/10.62617/mcb1500.
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Dance movements are a form of expressive physical activity that communicates emotions, stories, and cultural significance through the rhythmic motions of the body. Viewed through the lens of biomechanical theory, it offers a unique understanding of the body’s physical actions and interactions in space. Biomechanics, the science of movement explains the mechanical principles of human motion, including forces, motion, and body structure. It aims to analyze the biomechanical principles underlying various dance movements, including forefoot (FT) landing, entire foot (ET) landing, single-leg landing, bounce, rock step, and side chassé step. A total of 42 dancers performed these movements in the jive and cha-cha, synchronized with corresponding music. Data were collected using a Vicon motion capture system and pressure sensors, which were uploaded into the OpenSim simulation model to create musculoskeletal models. Statistical Parameter Mapping (SPM) analysis was used to assess biomechanical differences across various dance movements. Depending on the data distribution, ANOVA, multiple regression analysis, and paired t-tests were employed to examine muscle forces involved in the different dance movements. The biomechanical analysis revealed that FT landing increased ankle inversion and instability, while ET landing provided greater stability. Single-leg landing generated higher forces, while the bounce movement was energy-efficient with increased plantarflexion. It may also increase the risk of injury due to higher forces. With careful technique to avoid overloading and injury, these findings may be used in dance training by implementing controlled ET landings for stability and balance, as well as single-leg landings to increase force absorption and build lower limb muscles. The side chasse step and rock step required greater lateral stability, with higher muscle activation in the hip and ankle joints. In conclusion, the biomechanical analysis highlights significant differences in muscle activation, joint angles, and stability across the dance movements.
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Vargas-Macías, Alfonso, Irene Baena-Chicón, Joanna Gorwa, et al. "Biomechanical Effects of Flamenco Footwork." Journal of Human Kinetics 80, no. 1 (2021): 19–27. http://dx.doi.org/10.2478/hukin-2021-0086.
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Abstract Footwork is one of the basic features of flamenco dancing and is performed in traditional high-heeled shoes. The purpose of this study was to analyse the mechanical profile of flamenco dancing in terms of vertical ground reaction force, and knee joint kinematics of the supporting limb in footwork technique in order to understand causes which predispose injuries derived from the practice of flamenco dancing. The participant in our study was a professional female flamenco dancer (34 years, 58 kg, 1.65 m) who performed the ZAP 3 test, a sequence of single strikes of the feet performed continuously for 15 s. 3D lower extremity kinematic data were collected using a five-camera motion analysis system (Vicon; Oxford Metrics Ltd., Oxford, UK). Ground reaction forces were recorded using a Kistler force plate. Our analysis was based on 30 cycles of each lower limb consisting of 177 footwork steps. The vertical component of the ground reaction force did not reveal any significant differences between the left and the right limb. The most dynamic strike was provided by the heel (twice the participant's body weight). The mean angular displacement of the supporting limb’s knee was ~27°. Results reveal that these impacts could make the knee joint more prone to injuries.
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Wąsik, Jacek, Dariusz Mosler, Dorota Ortenburger, Tomasz Góra, and Robert Podstawski. "Differences in Velocities of Crucial Body Segments while Executing Roundhouse Kicks for Both Sides." Journal of Human Kinetics 86, no. 1 (2023): 97–105. http://dx.doi.org/10.5114/jhk/159451.
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Lower limb kinematics of the roundhouse kick is a well-known topic studied by many researchers. However, there is a lack of data about the velocity of the core and upper limbs during the execution of this technique. The aim of this study was to evaluate the differences in velocities of all crucial body segments while executing roundhouse kicks for both sides of the body. Thirteen elite taekwon-do athletes participated in this study. They performed kicks to a table tennis ball three times using each leg. The spatial-temporal data of markers placed on toes, knees, hips, shoulders, elbows, hands, and sternum were captured with the use of the Human Motion Lab equipment composed of 10 infrared cameras NIR Vicon MX-T40. There were statistical differences in the maximal velocity of the sternum and opposite shoulder. There were different correlations between the time of acquiring maximal velocities of specific body segments and the maximal velocity of the toe marker for each kicking side. Higher correlations were observed for the left kick despite the participant’s declaration of their preference for the right leg. The obtained results facilitate the conclusion that small non-resistant targets require different motor control depending on the kicking side, despite not revealing significant differences between maximal velocity. While such an indicator could be perceived as a suitable benchmark of an athlete’s performance, more detailed analysis seems to be required for a better understanding of martial arts techniques.
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Lace, Karol Lann vel, and Michalina Błażkiewicz. "How does the ski boot affect human gait and joint loading?" Biomedical Human Kinetics 13, no. 1 (2021): 163–69. http://dx.doi.org/10.2478/bhk-2021-0020.
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Abstract Study aim: To investigate the effect of wearing ski boots on kinematic and kinetic parameters of lower limbs during gait. Furthermore, loads in lower limb joints were assessed using the musculoskeletal model. Material and methods: The study examined 10 healthy women with shoe size 40 (EUR). Kinematic and kinetic data of walking in ski boots and barefoot were collected using a Vicon system and Kistler plates. A musculoskeletal model derived from AnyBody Modeling System was used to calculate joint reaction forces. Results: Wearing ski boots caused the range of motion in the knee joint to be significantly smaller and the hip joint to be significantly larger. Muscle torques were significantly greater in walking in ski boots for the knee and hip joints. Wearing ski boots reduced the reaction forces in the lower limb joints by 18% for the ankle, 16% for the knee, and 39% for the hip. Conclusions: Ski boot causes changes in the ranges of angles in the lower limb joints and increases muscle torques in the knee and hip joints but it does not increase the load on the joints. Walking in a ski boot is not destructive in terms of forces acting in the lower limb joints.
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Pelka, Edward Z., Carter Gadola, Daniel McLaughlin, Eric Slattery, and Randal P. Claytor. "Comparison of the PUSH Band 2.0 and Vicon Motion Capture to Measure Concentric Movement Velocity during the Barbell Back Squat and Bench Press." Sports 11, no. 1 (2022): 6. http://dx.doi.org/10.3390/sports11010006.
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The purpose of this investigation was to compare concentric movement velocity (CMV) measured with the PUSH Band (v2.0) and a Vicon motion capture system (MC) during the back squat (SQ) and the bench press (BP) resistance exercises (RE). Twelve resistance-trained males (26.0 ± 5.5 years; 175.6 ± 4.9 cm; 96.3 ± 15.8 kg) completed ten repetitions at 50% of one-repetition maximum (1RM), and six repetitions at 75% 1RM for both BP and SQ. Four PUSH devices were utilized and attached to the subject’s right forearm, the center barbell, left and right sides of the barbell. MC markers were placed on top of each PUSH device. An overall analysis using a series of least-squares means contrasts suggested CMV did not differ (p > 0.05) between measurement technologies when position, RE, intensity and repetitions were combined. PUSH exhibited the highest Intraclass Correlation Coefficients (ICC = 0.835–0.961) and Pearson Product-Moment Correlation Coefficients (r = 0.742–0.949) at the arm and center barbell locations when compared with MC. The measurement of CMV between MC and PUSH compares favorably during moderate (i.e., 50%) and high (75%) intensity SQ and BP RE. These data indicate individuals can use the PUSH band v2.0 to accurately monitor CMV within a RE set for SQ and BP RE.
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Łysoń-Uklańska, Barbara, Michalina Błażkiewicz, Monika Kwacz, and Andrzej Wit. "Muscle Force Patterns in Lower Extremity Muscles for Elite Discus Throwers, Javelin Throwers and Shot-Putters – A Case Study." Journal of Human Kinetics 78, no. 1 (2021): 5–14. http://dx.doi.org/10.2478/hukin-2021-0026.
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Abstract Optimal release variables, as well as the kinematics and kinetics of athletes, are crucial for the maximization of throwing distance in athletics. Mathematical models and simulations allow throwing techniques to be studied. However, muscle force patterns and the contribution of specific muscle groups in athletics throwing events are not well understood and require detailed research. In this study, important variables of the muscle force generated during the javelin, discus and shot put events were determined using OpenSim software. Musculoskeletal simulations were carried out based on kinematic and kinetic data collected using the Vicon system and Kistler plates with the help of nine top Polish athletes (three in each event). OpenSim software was used to calculate muscle forces and joint velocities. For each discipline, it was found that the main muscle groups involved in the throwing movement were better at distinguishing throwers than joint velocities. The contribution of right ankle plantar flexors at the beginning of the final acceleration phase as well as left hip extensors at the end of the final acceleration phase was given special attention. This work provides a better understanding of the techniques used in athletics throws. Musculoskeletal simulations of throwing styles might help coaches analyze the techniques of individual athletes, resulting in better adjustment of training programmes and injury prevention protocols.
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Ward, John, Jesse Coats, and Amir Pourmoghaddam. "Spine Buddy® Supportive Pad Impact on Single-Leg Static Balance and a Jogging Gait of Individuals Wearing a Military Backpack." Journal of Human Kinetics 44, no. 1 (2014): 53–66. http://dx.doi.org/10.2478/hukin-2014-0110.
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Abstract The Spine Buddy® supportive pad was developed to be inserted underneath military backpacks to help disperse the heavy load of the backpack. The purpose of this study was to determine the impact the additional supportive pad had on static balance and a running gait while wearing a military backpack. Forty healthy subjects (age= 27.5 + 5.6 yrs, body height= 1.78 + 0.06 m, body mass= 86.5 + 14.0 kg: mean + SD) participated in a static single-leg balance test on a force plate with each lower limb while wearing a 15.9 kg military backpack for 30 s. Following this, participants were randomized to one of two interventions: 1) Intervention, which wore the Spine Buddy® supportive pad underneath their backpack or 2) Control, with no additional supportive pad. Post-intervention measurements of static single-leg balance were then recorded. Afterwards, a similar pre vs post testing schedule and randomization scheme was used to test the impact of the supportive pad on a 5 mph jogging gait using Vicon® cameras. Within-group data were analyzed with a 2-way repeated measures ANOVA. Statistically significant differences were not seen between the control and experimental group for balance and gait variables. Preliminarily, this suggests that the Spine Buddy® supportive pad causes no deleterious effect on static balance and a jogging gait in 18-45 year-old asymptomatic individuals.
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Wang, Meizi, Lin Fu, Yaodong Gu, Qichang Mei, Fengqin Fu, and Justin Fernandez. "Comparative Study of Kinematics and Muscle Activity Between Elite and Amateur Table Tennis Players During Topspin Loop Against Backspin Movements." Journal of Human Kinetics 64, no. 1 (2018): 25–33. http://dx.doi.org/10.1515/hukin-2017-0182.
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Abstract This study investigated differences of lower limb kinematics and muscle activity during table tennis topspin loop against backspin movements between elite players (EPs) and amateur players (APs). Ten EPs and ten APs performed crosscourt backhand loop movements against the backspin ball with maximal power. Vicon motion analysis and a MEGA ME6000 system was used to capture kinematics and surface EMG data. The motion was divided into two phases, including the backswing and swing. The joints’ flexion and extension angle tendency between EPs and APs differed significantly. The coefficient of multiple correlation (CMC) values for EPs were all beyond 0.9, indicating high similarity of joint angles change. APs presented moderate similarity with CMC values from 0.5 to 0.75. Compared to APs, EPs presented larger ankle eversion, knee and hip flexion at the beginning moment of the backswing. In the sEMG test, EPs presented smaller standardized AEMG (average electromyography) of the lower limb muscles in the rectus femoris and tibia anterior on both sides. Additionally, the maximum activation of each muscle for EPs was smaller and MPF (mean power frequency) of the lower limb was greater during the whole movement. The present study revealed that EPs could complete this technical motion more economically than APs, meanwhile, EPs were more efficient in muscle usage and showed better balance ability.
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Visentin, Peter, and Gongbing Shan. "The Kinetic Characteristics of the Bow Arm During Violin Performance: An Examination of Internal Loads as a Function of Tempo." Medical Problems of Performing Artists 18, no. 3 (2003): 91–97. http://dx.doi.org/10.21091/mppa.2003.3017.
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Studies show that 43% to 66% of professional musicians need to stop performing for extended periods due to occupational injuries, often identified as overuse syndrome. Repetitive movement may be the mechanism of these injuries, but the identification of causal factors requires quantitative research into the kinematic and kinetic characteristics of musical performance. The current study examines internal loads of the bow arm during a legato (smooth) bowing technique at a variety of tempos (speeds). Eight professional-level violinists participated in the study. A nine-camera VICON v8i system was used to capture and synchronize upper body kinematics with sound and video. Using a 10-segment biomechanical model (head, trunk, upper arms, lower arms, hands, bow, and violin) and applying inverse dynamic analysis to the kinematic data, moments and forces loading the joints (shoulder, elbow, and wrist) were calculated, revealing quantitative characteristics of the joint load. The results show that load can be measured in terms of quantity and quality, with quantity influenced by factors such as the string played and tempo and quality defined in terms of the type of load (static, quasi-static, dynamic, fundamental, and impact) and psychological and physical constraints. Inverse dynamic analysis reveals that: 1) right shoulder loads vary in quantity and quality depending on the string played, whereas wrist and elbow loads are independent of the string played; 2) loading may be divided into three discrete phases--increasing physical effort, optimization, and approaching physiologic limits; and 3) several factors contribute to impact loading, and tempo plays a dominant role. This is the first study providing quantitative three-dimensional kinematic and kinetic information on the bow and on the bow arm, laying the foundation for further exploration of the causal factors of overuse syndrome and for the potential development of practices that might minimize these injuries.
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Song, Yang, Xiao Xue Zhao, Kyle P. Finnie, and Shi Rui Shao. "Biomechanical Analysis of Vertical Jump Performance in Well-Trained Young Group before and after Passive Static Stretching of Knee Flexors Muscles." Journal of Biomimetics, Biomaterials and Biomedical Engineering 36 (March 2018): 24–33. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.36.24.
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The purposes of this study were to explore the biomechanical variations of vertical jump performance in well-trained young group before and after passive static stretching (PSS) of knee flexors muscles and to further discuss how the passive static stretching (PSS) influences vertical jump performance in order to provide a more effective warm-up routine and theoretical basis for physical education (PE) teachers and coaches. 15 male middle school students without any injury histories on lower limbs in the past 3 months were included in this study. Subjects with markers on the lower limbs performed vertical jump performance before and immediately after PSS of knee flexors muscles, respectively. A Vicon motion capture system was used to collect the kinematic data of lower limb and Kistler force platform simultaneously recorded the ground reaction force (GRF) during vertical jump. Significant differences were also found in the kinematics part. In sagittal plane, the hip, knee and ankle highest flexion angles were greater after PSS when take-off (hip: p< 0.05; knee: p< 0.01; ankle: p< 0.05); while the hip and knee highest flexion angles were greater before PSS when landing (hip: p< 0.01; knee: p< 0.05). These results showed that the increased range of motion (ROM) of hip, knee, and ankle because of PSS could boost the explosive extension of lower limb during take-off, which can potentially improve vertical jump performance, although the peak value of GRF after PSS was lower. Therefore, the PSS applied only on knee flexors muscles may have an acute effect on enhancing the vertical jump performance for well-trained young group and should be added to warm-up exercises in middle school sports class and sports training.
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Shan, Gongbing, Peter Visentin, and Arlan Schultz. "Multidimensional Signal Analysis as a Means of Better Understanding Factors Associated with Repetitive Use in Violin Performance." Medical Problems of Performing Artists 19, no. 3 (2004): 129–39. http://dx.doi.org/10.21091/mppa.2004.3022.
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Multidimensional signal analysis (MSA) involves the coordination and correlation of data gathered by multiple analytic techniques. For complex biosystems, MSA provides a means to investigate better aspects of the system that cannot be understood easily using a single method. This is clearly the case for repetitive use injuries, also commonly referred to as overuse syndrome. Injuries from overuse syndrome are the result of deliberate physical behaviors. They typically are investigated through injury-site examinations, statistical or epidemiologic studies, and observation of the behaviors associated with the injury. Diverse methods often must be used to evaluate a patient because individually they provide only partial information relating to the etiology. The use of MSA permits the integration of multiple observational perspectives, generally creating a more holistic view. Using MSA, accurate external description of the movements thought to cause injury can be linked with internal physiologic conditions. Because physical work causes observed damage in overuse syndrome patients, a full examination of internal loading and muscle activity provides one possibility for understanding the evolutionary nature of these pathologies. Kinematic description, internal load analysis, electromyography, and biomechanical modeling are complementary methods used for MSA in this study. In the current study, a nine-camera ViCON v8i system was used to capture three-dimensional body kinematics as input for inverse dynamic modeling. Electromyography (Noraxon; 8-channel, wireless) was measured and synchronized to the model, permitting the correlation of joint moments and selected muscle activity. Results reveal clear relationships between muscle activity and physiologic loading for a variety of bowing speeds, strong interaction among muscles and groups of muscles, and changes in motor control at varying speeds. Additionally, load levels and work patterns are quantitatively established, and evidence is found to support a three-phase division of motor control based on speed: (1) increasing physical effort, (2) optimization, and (3) approaching physiologic limits. Combined with previous kinematic, kinetic, and statistical studies, the current study illuminates the relative risks of static versus dynamic loading, and provides perspective on the working patterns of muscles throughout the kinematic chain of the arms and torso during violin performance. Most importantly, this study begins the process of establishing MSA as a means of gleaning a greater overall view from the separate observational perspectives provided by multiple assessment methods used to examine performing artists’ injuries. This is the first such study for violin performance; an activity highly correlated with overuse syndrome.
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Grouios, George, Efthymios Ziagkas, Andreas Loukovitis, Konstantinos Chatzinikolaou, and Eirini Koidou. "Accelerometers in Our Pocket: Does Smartphone Accelerometer Technology Provide Accurate Data?" Sensors 23, no. 1 (2022): 192. http://dx.doi.org/10.3390/s23010192.
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This study evaluates accelerometer performance of three new state of the art smartphones and focuses on accuracy. The motivating research question was whether accelerator accuracy obtained with these off-the-shelf modern smartphone accelerometers was or was not statistically different from that of a gold-standard reference system. We predicted that the accuracy of the three modern smartphone accelerometers in human movement data acquisition do not differ from that of the Vicon MX motion capture system. To test this prediction, we investigated the comparative performance of three different commercially available current generation smartphone accelerometers among themselves and to a gold-standard Vicon MX motion capture system. A single subject design was implemented for this study. Pearson’s correlation coefficients® were calculated to verify the validity of the smartphones’ accelerometer data against that of the Vicon MX motion capture system. The Intraclass Correlation Coefficient (ICC) was used to assess the smartphones’ accelerometer performance reliability compared to that of the Vicon MX motion capture system. Results demonstrated that (a) the tested smartphone accelerometers are valid and reliable devices for estimating accelerations and (b) there were not significant differences among the three current generation smartphones and the Vicon MX motion capture system’s mean acceleration data. This evidence indicates how well recent generation smartphone accelerometer sensors are capable of measuring human body motion. This study, which bridges a significant information gap between the accuracy of accelerometers measured close to production and their accuracy in actual smartphone research, should be interpreted within the confines of its scope, limitations and strengths. Further research is warranted to validate our arguments, suggestions, and results, since this is the first study on this topic.
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Messias, Iracimara Anchieta, Fabiana Rodrigues de Andrade, Almir Olivette Artero, and Líria Akie Okai de Albuquerque Nóbrega. "Risco de lesões de ombro em cortadores de cana-de-açúcar: análise baseada na simulação dos movimentos." Scientia Medica 27, no. 3 (2017): 27610. http://dx.doi.org/10.15448/1980-6108.2017.3.27610.
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***Risk of shoulder injuries in sugarcane workers: analysis based on the simulation of the movements***AIMS: To evaluate whether the amplitude angles of shoulder flexion and abduction, in the movements performed during a simulation of the sugarcane cutting task, exceed the limits considered safe. METHODS: Non-randomized controlled simulations of the movement of sugarcane cutting were performed in volunteers recruited among university students. Inclusion criteria were (a) male sex; (b) age between 21 and 40 years; (c) right handed; (d) without orthopedic and/or neurological impairment; (e) physical characteristics and a history of work activities similar to that of sugarcane cutters; (f) performing aerobic physical activity at least three times a week in the last six months. The exclusion criteria were (a) presence of pain during the tests; and (b) inability to perform the movement. The study was carried out in the laboratory of occupational biomechanics of the Center for Study and Research in Ergonomics of the School of Science and Technology of the State University of São Paulo. The kinematic data were collected by the Vicon® Three-Dimensional Movement Analysis System. The movements of flexion and abduction of the right shoulder were measured and classified. The parameters used as reference to evaluate the results were those published by the Ministry of Health of Brazil, which synthesizes the safe limits of amplitude of these movements. RESULTS: Ten subjects were evaluated, with a mean age of 24.5±4.78 years. A total of 39 samples obtained with the movement repetitions were analyzed during an average period of 30 seconds. The angle of shoulder in flexion remained above 30 degrees during 98.18% of the task execution time, above 45 degrees during 88.84%, above 60 degrees during 42.19% and above 90 degrees during 7.72% of the time. The abduction angle remained above 60 degrees throughout all the time and above 90 degrees during 57.59% of the time. In the amplitude of movement spikes, abduction apertures with angles greater than 100 degrees were observed.CONCLUSIONS: During most of the time of the experiments that simulated the movement of sugarcane cutting, the flexion and abduction angles of the shoulder were above those considered safe, indicating that the activity performed by sugarcane cutters has a strong potential to cause damage to the shoulder joint.
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Kertészné Német, Bernadett, Tamás Terebessy, and Zoltán Bejek. "Ép és mozgásukban korlátozott kajakos sportolók biomechanikai mozgáselemzése és összehasonlító vizsgálata." Orvosi Hetilap 160, no. 52 (2019): 2061–66. http://dx.doi.org/10.1556/650.2019.31444.
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Abstract: Introduction: During kayaking, the whole body works in a perfect harmony. While the trunk is doing a rotation, flexion-extension helps to the upper limb to create a special cyclic paddle. The purpose of this study was to gain a better understanding of the physical disabled (later disabled) person’s kayaking motions and to probe whether there were any significant differences between disabled and non-disabled kayakers with special focus on the use of footrest. We hypothesised significantly different ranges of motion and muscle activity in lower limbs but no significant differences in those of the upper limbs. Aim: Our goal was to know more about the abled and disbled kayaking and compare the athlete’s kayaking movements. Method: Thirteen (n = 13) elite disabled athletes (age range: 18–40 years, height range: 164–194 cm, body mass range:74–93 kg), eleven (n = 11) elite non-disabled athletes (age range: 18–40 years, height range:172–197 cm, body mass range: 72–96 kg) and nine (n = 9) athletes whose movements were artificially limited to imitate disabled conditions(“imitation disabled” group) (age range: 18–40 years, height range: 172–197 cm, body mass range: 72–96 kg) were measured. Weba sport kayak ergometer, surface electromyography (EMG), and a 3-dimensional Vicon (MX T40) camera system were used to record the data, and a combined Matlab and MS Excel system was used to analyse the results. Results: In line with our basic assumption, range of motion of the upper limbs was not significantly different between disabled athletes and non-disabled athletes (p ≥ 0.05). However, muscle activities were significantly different in the disabled group compared to the non-disabled group (p ≤ 0.05). In the disabled group the knee joint and trunk motions and muscle activities were also significantly different compared to those in the non-disabled group (p ≤ 0.05). The differences in performance force applied to both footrests and force were significant (p ≤ 0.05). Discussion: The assumption that shoulder and elbow ranges of motion were not significantly different in disabled athletes compared to non-disabled athletes was proven. However, muscle activities were significantly different in the disabled group. In the disabled group, knee and trunk motions and muscle activities were also significantly different compared to the non-disabled group. Significant differences were found in performance, force and footrest use. Our results proved our assumption that motions and muscle activities of disabled and non-disabled athletes were significantly different. Orv Hetil. 2019; 160(52): 2061–2066.
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Dzulkifli, Azkiyyah Wahida, Siti Aisyah Mualif, Aizreena Azaman, et al. "A Footprint Analysis: Comparison between Conventional Scanning Method and Motion Capture System." Malaysian Journal of Fundamental and Applied Sciences 18, no. 5 (2022): 521–29. http://dx.doi.org/10.11113/mjfas.v18n5.2325.
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Footprint is a key element in human physiological characteristic study, for determining gender, height and weight. This study is to investigate the reliability of using conventional scanning method by comparing results with motion capture system method. The study takes footprint images from conventional scanning and processed using MATLAB. The captured gait movement data are generated from Vicon Nexus and Vicon Polygon respectively. Afterwards the data from the two methods were analysed for correlation test. The significant difference between measurement of gait parameters using Vicon and conventional scanned method were tested using paired sample t-test and the concurrent validity of conventional scanned method was tested using Pearson correlation. Although there was significance difference between measurement using both methods, the correlation analysis displayed moderate to high positive significant correlation of the parameters indicating the validity of the conventional scanned method. This concludes this study to accept the alternative hypothesis that there is a linear relationship between these two procedures.
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Lindenheim-Locher, Wojciech, Adam Świtoński, Tomasz Krzeszowski, et al. "YOLOv5 Drone Detection Using Multimodal Data Registered by the Vicon System." Sensors 23, no. 14 (2023): 6396. http://dx.doi.org/10.3390/s23146396.
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This work is focused on the preliminary stage of the 3D drone tracking challenge, namely the precise detection of drones on images obtained from a synchronized multi-camera system. The YOLOv5 deep network with different input resolutions is trained and tested on the basis of real, multimodal data containing synchronized video sequences and precise motion capture data as a ground truth reference. The bounding boxes are determined based on the 3D position and orientation of an asymmetric cross attached to the top of the tracked object with known translation to the object’s center. The arms of the cross are identified by the markers registered by motion capture acquisition. Besides the classical mean average precision (mAP), a measure more adequate in the evaluation of detection performance in 3D tracking is proposed, namely the average distance between the centroids of matched references and detected drones, including false positive and false negative ratios. Moreover, the videos generated in the AirSim simulation platform were taken into account in both the training and testing stages.
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Warren, Beth Boulden, Joseph Mah, Niamh Mah, et al. "Early Findings on the Use of Motion Capture during Simulated Sports Activities to Better Understand Hemophilic Arthropathy." Blood 138, Supplement 1 (2021): 3203. http://dx.doi.org/10.1182/blood-2021-151532.
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Abstract Many persons with hemophilia (PwH) have joint bleeding despite prophylaxis. We hypothesize that movement biomechanics play a significant and largely unexplored role in joint bleeding, which could be exploited to develop personalized rehabilitation programs. We have designed a clinical study to test this hypothesis. Here we show data from the first 3 enrollees as case studies of what could potentially be learned. Data were collected from 3 participants with hemophilia A, ages 10-30 years, on prophylaxis with emicizumab, with at least 1 joint bleed in the lower extremity in the past year, using motion capture techniques with force plates and reflective markers collected through a Vicon system. Motion lab activities were designed to simulate sports activities and included walking (barefoot and shod), squatting (double and single leg), hopping on one foot, and jumping from a 30-cm box. Two patients (B and C) routinely take additional factor VIII prophylaxis prior to physical activity and did so before coming to the motion lab. Hemophilia Joint Health Score (HJHS) was obtained by an experienced physical therapist prior to motion lab collection to gauge degree of hemophilic arthropathy by physical exam. A subset of participants and activities are shown graphically. Participant A (not shown) had a higher HJHS in the right knee than left (3 vs 0) and had HJHS of 4 in bilateral ankles, with most recent bleed in the right ankle 8 months prior; primary physical activity was walking. This participant showed subtle differences between the right and left in all activities, including less weight on the right leg during double leg squat, and right single leg hop lower than the left. Participant B had a higher HJHS in the right knee than the left (3 vs 0) and in the right ankle than the left (7 vs 6), and he had had multiple episodes of knee pain but no change in HJHS since 2 years prior. Knee MRIs performed outside of the study were consistent with tendinosis of bilateral quadriceps rather than bleeding. Primary sports were basketball, hiking, biking, and skiing. Participant B had subtle differences between the right and left side that seemed to protect the right, including mildly decreased right knee flexion with weight acceptance during walking (more pronounced when wearing shoes), lower power generation by the right ankle than the left in walking, and lower peak ground reaction force (GRF) on the right than left in forward hopping. Some motions seemed to protect the left side more, with less power generation and absorption by the ankle (double and single leg squats) and hip (single leg squat only), right single leg squat somewhat deeper than the left, and slower time to step onto the left foot than the right. Participant C had a higher HJHS in the right knee than left (2 vs 1) and in the right ankle than left (5 vs 3) but had had worsening HJHS in bilateral ankles compared to his previous scores, with bleeds in both knees in the past year. Primary physical activities were baseball (pitching), basketball, biking, skiing, and golf. He had recently been diagnosed with Osgood Schlatter (patellar tendon/tibial tuberosity inflammation) of the left knee, which had been causing pain for several months, but no bleeding in that knee. Movement analysis reflected left knee pain, including very little flexion with weight acceptance when walking; very little power absorption or generation from the knee in walking, hopping, and squatting; shallower squats and lower hops on the left; and lower ground reaction force on the left than the right with walking. Perhaps related to the left knee protection, both ankles were consistently more plantarflexed in walking, and there was increased power generation in the right ankle compared to the left. These findings suggest the presence of subtle asymmetry related to hemophilic arthropathy and previous bleeding, which were more pronounced in more strenuous activities than with walking. The results of participant C could suggest that pain, even if unrelated to hemophilia, could cause compensatory movement mechanisms that could lead to increased bleeding risk in other lower extremity joints. Ongoing analysis will include tracking of bleeding over 1 year following motion analysis, enrollment of additional participants, comparison with controls, and performing detailed statistical analysis to determine which movement parameters correlate best with HJHS and lower extremity bleeding risk. Figure 1 Figure 1. Disclosures Warren: Novo Nordisk: Consultancy; Hema Biologics: Consultancy; Bayer: Research Funding; CSL Behring: Research Funding; Genentech: Research Funding. Funk: Biomarin: Consultancy; Sanofi Genzyme: Speakers Bureau; Toronto Sick Kids Hospital: Patents & Royalties: Hemophilia Joint Health Score Royalties; Partners: Honoraria.
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Abhayasinghe, Nimsiri, Iain Murray, and Shiva Sharif Bidabadi. "Validation of Thigh Angle Estimation Using Inertial Measurement Unit Data against Optical Motion Capture Systems." Sensors 19, no. 3 (2019): 596. http://dx.doi.org/10.3390/s19030596.
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Inertial measurement units are commonly used to estimate the orientation of sections of sections of human body in inertial navigation systems. Most of the algorithms used for orientation estimation are computationally expensive and it is difficult to implement them in real-time embedded systems with restricted capabilities. This paper discusses a computationally inexpensive orientation estimation algorithm (Gyro Integration-Based Orientation Filter—GIOF) that is used to estimate the forward and backward swing angle of the thigh (thigh angle) for a vision impaired navigation aid. The algorithm fuses the accelerometer and gyroscope readings to derive the single dimension orientation in such a way that the orientation is corrected using the accelerometer reading when it reads gravity only or otherwise integrate the gyro reading to estimate the orientation. This strategy was used to reduce the drift caused by the gyro integration. The thigh angle estimated by GIOF was compared against the Vicon Optical Motion Capture System and reported a mean correlation of 99.58% for 374 walking trials with a standard deviation of 0.34%. The Root Mean Square Error (RMSE) of the thigh angle estimated by GIOF compared with Vicon measurement was 1.8477°. The computation time on an 8-bit microcontroller running at 8 MHz for GIOF is about a half of that of Complementary Filter implementation. Although GIOF was only implemented and tested for estimating pitch of the IMU, it can be easily extended into 2D to estimate both pitch and roll.
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Wheare, Matilda Jane, Maximillian J. Nelson, Ryan Lumsden, Alec Buttfield, and Robert George Crowther. "Reliability and Validity of the Polhemus Liberty System for Upper Body Segment and Joint Angular Kinematics of Elite Golfers." Sensors 21, no. 13 (2021): 4330. http://dx.doi.org/10.3390/s21134330.
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Golf swing analysis is common in both recreational and professional levels where players are searching for improvements in shot accuracy and distance. The use of motion analysis systems such as the portable Polhemus Liberty system is gaining interest by coaches and players; however, to date, no research has examined the usefulness of the Polhemus Liberty system for golf swing analysis. Therefore, the purpose of this study was to determine the reliability of the Polhemus Liberty system and validity compared to the VICON Nexus motion analysis system when assessing segment (pelvis and thorax) and joint (shoulder, elbow and wrist) angular kinematics during a golf swing at key events (address, top of backswing and impact). Fifteen elite amateur/professional golfers performed ten golf swing trials within specified bounds using their 5-iron club. Reliability was assessed using interclass coefficient, effect size and t-test statistics by all participants completing two separate testing sessions on separate days following the same experimental protocol. Validity was assessed using effect size, Pearson correlation and t-test statistics by comparing swings captured using both Polhemus Liberty and VICON Nexus concurrently. Results demonstrated no difference in ball outcome results using the Trackman launch monitor (P > 0.05) and that the Polhemus Liberty system was reliable across the two sessions for all segment (pelvis and thorax) and joint (lead shoulder (gleno-humeral joint), elbow and wrist) angular kinematics (P > 0.05). Validity analysis showed that the Polhemus Liberty system for the segments (pelvis and thorax) and joints (lead shoulder and wrist) were different compared to the VICON Nexus data at key events during the golf swing. Although validity could not be confirmed against VICON Nexus modeling, the Polhemus Liberty system may still be useful for golf swing analysis across training sessions. However, caution should be applied when comparing data from the system to published research data using different motion analysis methods.
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van der Veen, Susanne, Martine Bordeleau, Peter Pidcoe, Christopher France, and James Thomas. "Agreement Analysis between Vive and Vicon Systems to Monitor Lumbar Postural Changes." Sensors 19, no. 17 (2019): 3632. http://dx.doi.org/10.3390/s19173632.
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Immersive virtual reality has recently developed into a readily available system that allows for full-body tracking. Can this affordable system be used for component tracking to advance or replace expensive kinematic systems for motion analysis in the clinic? The aim of this study was to assess the accuracy of position and orientation measures from Vive wireless body trackers when compared to Vicon optoelectronic tracked markers attached to (1) a robot simulating trunk flexion and rotation by repeatedly moving to know locations, and (2) healthy adults playing virtual reality games necessitating significant trunk displacements. The comparison of both systems showed component tracking with Vive trackers is accurate within 0.68 ± 0.32 cm translationally and 1.64 ± 0.18° rotationally when compared with a three-dimensional motion capture system. No significant differences between Vive trackers and Vicon systems were found suggesting the Vive wireless sensors can be used to accurately track joint motion for clinical and research data.
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Karatzas, Nicolaos, Patrik Abdelnour, Jason Philip Aaron Hiro Corban, et al. "Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening." Sensors 24, no. 6 (2024): 1970. http://dx.doi.org/10.3390/s24061970.
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Knee kinematics during a drop vertical jump, measured by the Kinect V2 (Microsoft, Redmond, WA, USA), have been shown to be associated with an increased risk of non-contact anterior cruciate ligament injury. The accuracy and reliability of the Microsoft Kinect V2 has yet to be assessed specifically for tracking the coronal and sagittal knee angles of the drop vertical jump. Eleven participants performed three drop vertical jumps that were recorded using both the Kinect V2 and a gold standard motion analysis system (Vicon, Los Angeles, CA, USA). The initial coronal, peak coronal, and peak sagittal angles of the left and right knees were measured by both systems simultaneously. Analysis of the data obtained by the Kinect V2 was performed by our software. The differences in the mean knee angles measured by the Kinect V2 and the Vicon system were non-significant for all parameters except for the peak sagittal angle of the right leg with a difference of 7.74 degrees and a p-value of 0.008. There was excellent agreement between the Kinect V2 and the Vicon system, with intraclass correlation coefficients consistently over 0.75 for all knee angles measured. Visual analysis revealed a moderate frame-to-frame variability for coronal angles measured by the Kinect V2. The Kinect V2 can be used to capture knee coronal and sagittal angles with sufficient accuracy during a drop vertical jump, suggesting that a Kinect-based portable motion analysis system is suitable to screen individuals for the risk of non-contact anterior cruciate ligament injury.
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Merker, Sebastian, Stefan Pastel, Dan Bürger, Alexander Schwadtke, and Kerstin Witte. "Measurement Accuracy of the HTC VIVE Tracker 3.0 Compared to Vicon System for Generating Valid Positional Feedback in Virtual Reality." Sensors 23, no. 17 (2023): 7371. http://dx.doi.org/10.3390/s23177371.
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For realistic and reliable full-body visualization in virtual reality, the HTC VIVE Tracker could be an alternative to highly complex and cost- and effort-intensive motion capture systems such as Vicon. Due to its lighter weight and smaller dimensions, the latest generation of trackers is proving to be very promising for capturing human movements. The aim of this study was to investigate the accuracy of the HTC VIVE Tracker 3.0 compared to the gold-standard Vicon for different arrangements of the base stations and various velocities during an athletic movement. Therefore, the position data from three trackers attached to the hip, knee and ankle of one sporty participant were recorded while riding a bicycle ergometer at different pedaling frequencies and different base station arrangements. As parameters for the measurement accuracy, the trajectories of the linear motion of the knee and the circular motion of the ankle were compared between VIVE and Vicon by calculating the spatial distance from the raw data at each point in time. Both the pedaling frequency and the arrangement of the base stations significantly affected the measurement accuracy, with the lowest pedaling frequency of 80 rpm and the rectangular arrangement recommended by the manufacturer showing the smallest spatial differences of 10.4 mm ± 4.5 mm at the knee and 11.3 mm ± 5.1 mm at the ankle. As the pedaling frequency increased gradually (120 rpm and 160 rpm), the measurement accuracy of the trackers per step decreased less at the knee (approximately 5 mm) than at the ankle (approximately 10 mm). In conclusion, the measurement accuracy for various athletic skills was high enough to enable the visualization of body limbs or the entire body using inverse kinematics in VR on the one hand and, on the other hand, to provide initial insights into the quality of certain techniques at lower speeds in sports science research. However, the VIVE trackers are not suitable for exact biomechanical analyses.
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Ziagkas, Efthymios, Andreas Loukovitis, Dimitrios Xypolias Zekakos, Thomas Duc-Phu Chau, Alexandros Petrelis, and George Grouios. "A Novel Tool for Gait Analysis: Validation Study of the Smart Insole PODOSmart®." Sensors 21, no. 17 (2021): 5972. http://dx.doi.org/10.3390/s21175972.
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The new smart insole PODOSmart®, is introduced as a new tool for gait analysis against high cost laboratory based equipment. PODOSmart® system measures walking profile and gait variables in real life conditions. PODOSmart® insoles consists of wireless sensors, can be fitted into any shoe and offer the ability to measure spatial, temporal, and kinematic gait parameters. The intelligent insoles feature several sensors that detect and capture foot movements and a microprocessor that calculates gait related biomechanical data. Gait analysis results are presented in PODOSmart® platform. This study aims to present the characteristics of this tool and to validate it comparing with a stereophotogrammetry-based system. Validation was performed by gait analysis for eleven healthy individuals on a six-meters walkway using both PODOSmart® and Vicon system. Intraclass correlation coefficients (ICC) were calculated for gait parameters. ICC for the validation ranged from 0.313 to 0.990 in gait parameters. The highest ICC was observed in cadence, circumduction, walking speed, stride length and stride duration. PODOSmart® is a valid tool for gait analysis compared to the gold standard Vicon. As PODOSmart®, is a portable gait analysis tool with an affordable cost it can be a useful novel tool for gait analysis in healthy and pathological population.
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Scoz, Robson Dias, Thiago Roberto Espindola, Mateus Freitas Santiago, et al. "Validation of a 3D Camera System for Cycling Analysis." Sensors 21, no. 13 (2021): 4473. http://dx.doi.org/10.3390/s21134473.
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Background: Kinematic analysis aimed toward scientific investigation or professional purposes is commonly unaffordable and complex to use. Objective: The purpose of this study was to verify concurrent validation between a cycling-specific 3D camera and the gold-standard 3D general camera systems. Methods: Overall, 11 healthy amateur male triathletes were filmed riding their bicycles with Vicon 3D cameras and the Retul 3D cameras for bike fitting analysis simultaneously. All 18 kinematic measurements given by the bike fitting system were compared with the same data given by Vicon cameras through Pearson correlation (r), intraclass correlation coefficients (ICC), standard error measurements (SEM), and Bland–Altman (BA) analysis. Confidence intervals of 95% are given. Results: A very high correlation between cameras was found on six of 18 measurements. All other presented a high correlation between cameras (between 0.7 and 0.9). In total, six variables indicate a SEM of less than one degree between systems. Only two variables indicate a SEM higher than two degrees between camera systems. Overall, four measures indicate bias tendency according to BA. Conclusions: The cycling-specific led-emitting 3D camera system tested revealed a high or very high degree of correlation with the gold-standard 3D camera system used in laboratory motion capture. In total, 14 measurements of this equipment could be used in sports medicine clinical practice and even by researchers of cycling studies.
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Albert, Justin Amadeus, Victor Owolabi, Arnd Gebel, Clemens Markus Brahms, Urs Granacher, and Bert Arnrich. "Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study." Sensors 20, no. 18 (2020): 5104. http://dx.doi.org/10.3390/s20185104.
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Gait analysis is an important tool for the early detection of neurological diseases and for the assessment of risk of falling in elderly people. The availability of low-cost camera hardware on the market today and recent advances in Machine Learning enable a wide range of clinical and health-related applications, such as patient monitoring or exercise recognition at home. In this study, we evaluated the motion tracking performance of the latest generation of the Microsoft Kinect camera, Azure Kinect, compared to its predecessor Kinect v2 in terms of treadmill walking using a gold standard Vicon multi-camera motion capturing system and the 39 marker Plug-in Gait model. Five young and healthy subjects walked on a treadmill at three different velocities while data were recorded simultaneously with all three camera systems. An easy-to-administer camera calibration method developed here was used to spatially align the 3D skeleton data from both Kinect cameras and the Vicon system. With this calibration, the spatial agreement of joint positions between the two Kinect cameras and the reference system was evaluated. In addition, we compared the accuracy of certain spatio-temporal gait parameters, i.e., step length, step time, step width, and stride time calculated from the Kinect data, with the gold standard system. Our results showed that the improved hardware and the motion tracking algorithm of the Azure Kinect camera led to a significantly higher accuracy of the spatial gait parameters than the predecessor Kinect v2, while no significant differences were found between the temporal parameters. Furthermore, we explain in detail how this experimental setup could be used to continuously monitor the progress during gait rehabilitation in older people.
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Smirnova, Victoriya, Regina Khamatnurova, Nikita Kharin, Elena Yaikova, Tatiana Baltina, and Oskar Sachenkov. "The Automatization of the Gait Analysis by the Vicon Video System: A Pilot Study." Sensors 22, no. 19 (2022): 7178. http://dx.doi.org/10.3390/s22197178.
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The quality of modern measuring instruments has a strong influence on the speed of diagnosing diseases of the human musculoskeletal system. The research is focused on automatization of the method of gait analysis. The study involved six healthy subjects. The subjects walk straight. Each subject made several gait types: casual walking and imitation of a non-standard gait, including shuffling, lameness, clubfoot, walking from the heel, rolling from heel to toe, walking with hands in pockets, and catwalk. Each type of gait was recorded three times. For video fixation, the Vicon Nexus system was used. A total of 27 reflective markers were placed on the special anatomical regions. The goniometry methods were used. The walk data were divided by steps and by step phases. Kinematic parameters for estimation were formulated and calculated. An approach for data clusterization is presented. For this purpose, angle data were interpolated and the interpolation coefficients were used for clustering the data. The data were processed and four cluster groups were found. Typical angulograms for cluster groups were presented. For each group, average angles were calculated. A statistically significant difference was found between received cluster groups.
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Stepanyan, Ivan V., and Safa A. Hameed. "An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system." Baghdad Science Journal 20, no. 6(Suppl.) (2023): 2608. http://dx.doi.org/10.21123/bsj.2023.9087.
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These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that. The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. Crossover and mutation are the two primary mechanisms used by the genetic algorithm in the proposed system to replace the back propagation process in ANN. While the feedforward artificial neural network technique is focused on input processing, this should be based on the process of breaking the feedforward artificial neural network algorithm. Additionally, the result is computed from each ANN during the breaking up process, which is based on the breaking up of the artificial neural network algorithm into multiple ANNs based on the number of ANN layers, and therefore, each layer in the original artificial neural network algorithm is assessed. The best layers are chosen for the crossover phase after the breakage process, while the other layers go through the mutation process. The output of this generation is then determined by combining the artificial neural networks into a single ANN; the outcome is then checked to see if the process needs to create a new generation. The system performed well and produced accurate findings when it was used with data taken from the Vicon Robot system, which was primarily designed to record human behaviors based on three coordinates and classify them as either normal or aggressive.
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Fernández-González, Pilar, Aikaterini Koutsou, Alicia Cuesta-Gómez, María Carratalá-Tejada, Juan Carlos Miangolarra-Page, and Francisco Molina-Rueda. "Reliability of Kinovea® Software and Agreement with a Three-Dimensional Motion System for Gait Analysis in Healthy Subjects." Sensors 20, no. 11 (2020): 3154. http://dx.doi.org/10.3390/s20113154.
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Gait analysis is necessary to diagnose movement disorders. In order to reduce the costs of three-dimensional motion capture systems, new low-cost methods of motion analysis have been developed. The purpose of this study was to evaluate the inter- and intra-rater reliability of Kinovea® and the agreement with a three-dimensional motion system for detecting the joint angles of the hip, knee and ankle during the initial contact phase of walking. Fifty healthy subjects participated in this study. All participants were examined twice with a one-week interval between the two appointments. The motion data were recorded using the VICON Motion System® and digital video cameras. The intra-rater reliability showed a good correlation for the hip, the knee and the ankle joints (Intraclass Correlation Coefficient, ICC > 0.85) for both observers. The ICC for the inter-rater reliability was >0.90 for the hip, the knee and the ankle joints. The Bland–Altman plots showed that the magnitude of disagreement was approximately ±5° for intra-rater reliability, ±2.5° for inter-rater reliability and around ±2.5° to ±5° for Kinovea® versus Vicon®. The ICC was good for the hip, knee and ankle angles registered with Kinovea® during the initial contact of walking for both observers (intra-rater reliability) and higher for the agreement between observers (inter-rater reliability). However, the Bland–Altman plots showed disagreement between observers, measurements and systems (Kinovea® vs. three-dimensional motion system) that should be considered in the interpretation of clinical evaluations.
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Trivedi, Urvish, Redwan Alqasemi, and Rajiv Dubey. "CARRT—Motion Capture Data for Robotic Human Upper Body Model." Sensors 23, no. 20 (2023): 8354. http://dx.doi.org/10.3390/s23208354.
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In recent years, researchers have focused on analyzing humans’ daily living activities to study various performance metrics that humans subconsciously optimize while performing a particular task. In order to recreate these motions in robotic structures based on the human model, researchers developed a framework for robot motion planning which is able to use various optimization methods to replicate similar motions demonstrated by humans. As part of this process, it will be necessary to record the motions data of the human body and the objects involved in order to provide all the essential information for motion planning. This paper aims to provide a dataset of human motion performing activities of daily living that consists of detailed and accurate human whole-body motion data collected using a Vicon motion capture system. The data have been utilized to generate a subject-specific full-body model within OpenSim. Additionally, it facilitated the computation of joint angles within the OpenSim framework, which can subsequently be applied to the subject-specific robotic model developed MATLAB framework. The dataset comprises nine daily living activities and eight Range of Motion activities performed by ten healthy participants and with two repetitions of each variation of one action, resulting in 340 demonstrations of all the actions. A whole-body human motion database is made available to the public at the Center for Assistive, Rehabilitation, and Robotics Technologies (CARRT)-Motion Capture Data for Robotic Human Upper Body Model, which consists of raw motion data in .c3d format, motion data in .trc format for the OpenSim model, as well as post-processed motion data for the MATLAB-based model.
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Justa, Josef, Václav Šmídl, and Aleš Hamáček. "Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections." Sensors 20, no. 14 (2020): 3824. http://dx.doi.org/10.3390/s20143824.
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A new predictor–corrector filter for attitude and heading reference systems (AHRS) using data from an orthogonal sensor combination of three accelerometers, three magnetometers and three gyroscopes is proposed. The filter uses the predictor—corrector structure, with prediction based on gyroscopes and independent correction steps for acceleration and magnetic field sensors. We propose two variants of the filter: (i) one using mathematical operations of special orthogonal group SO(3), that are accurate for nonlinear operations, for highest possible accuracy, and (ii) one using linearization of nonlinear operations for fast evaluation. Both approaches are quaternion-based filter realizations without redundant steps. The filters are compared to state of the art methods in this field on data recorded using low-cost microelectromechanical systems (MEMS) sensors with ground truth measured by the VICON optical system. Both filters achieved better accuracy than conventional methods at lower computational cost. The recorded data with ground truth reference and the source codes of both filters are publicly available.
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Pignot, Géraldine, Rajae Touzani, Marc-Karim Bendiane, et al. "Self-reported functional assessment after treatment for prostate cancer: 5-year results of the prospective cohort VICAN." Future Oncology 18, no. 14 (2022): 1733–44. http://dx.doi.org/10.2217/fon-2021-1420.
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Objective: We aimed to assess the long-term association of therapeutic strategies with urinary, sexual function and health-related quality of life (HR-QoL) for 5-year prostate cancer (PC) survivors. Materials & methods: The VICAN survey consisted of self-reported data prospectively collected, including living conditions, treatment side effects and quality of life (QoL) of cancer survivors. Results: Among the 434 PC survivors, 52.8% reported urinary incontinence (UI) and 55.8% reported erectile dysfunction (ED). Patients treated with radical prostatectomy with salvage radiotherapy reported significantly more UI (p = 0.014) and more ED (p = 0.012) compared with other strategies. UI was significantly associated with physical and mental health-related QoL (p = 0.045 and p = 0.049, respectively). Conclusion: Self-assessed functional outcomes 5 years after PC diagnosis remain poor and could have an impact on health-related QoL.
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Van Crombrugge, Izaak, Seppe Sels, Bart Ribbens, Gunther Steenackers, Rudi Penne, and Steve Vanlanduit. "Accuracy Assessment of Joint Angles Estimated from 2D and 3D Camera Measurements." Sensors 22, no. 5 (2022): 1729. http://dx.doi.org/10.3390/s22051729.
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To automatically evaluate the ergonomics of workers, 3D skeletons are needed. Most ergonomic assessment methods, like REBA, are based on the different 3D joint angles. Thanks to the huge amount of training data, 2D skeleton detectors have become very accurate. In this work, we test three methods to calculate 3D skeletons from 2D detections: using the depth from a single RealSense range camera, triangulating the joints using multiple cameras, and combining the triangulation of multiple camera pairs. We tested the methods using recordings of a person doing different assembly tasks. We compared the resulting joint angles to the ground truth of a VICON marker-based tracking system. The resulting RMS angle error for the triangulation methods is between 12° and 16°, showing that they are accurate enough to calculate a useful ergonomic score from.
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Skublewska-Paszkowska, Maria, Pawel Powroznik, and Edyta Lukasik. "Learning Three Dimensional Tennis Shots Using Graph Convolutional Networks." Sensors 20, no. 21 (2020): 6094. http://dx.doi.org/10.3390/s20216094.
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Human movement analysis is very often applied to sport, which has seen great achievements in assessing an athlete’s progress, giving further training tips and in movement recognition. In tennis, there are two basic shots: forehand and backhand, which are performed during all matches and training sessions. Recognition of these movements is important in the quantitative analysis of a tennis game. In this paper, the authors propose using Spatial-Temporal Graph Neural Networks (ST-GCN) to challenge the above task. Recognition of the shots is performed on the basis of images obtained from 3D tennis movements (forehands and backhands) recorded by the Vicon motion capture system (Oxford Metrics Ltd, Oxford, UK), where both the player and the racket were recorded. Two methods of putting data into the ST-GCN network were compared: with and without fuzzying of data. The obtained results confirm that the use of fuzzy input graphs for ST-GCNs is a better tool for recognition of forehand and backhand tennis shots relative to graphs without fuzzy input.
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Fan, Shaocan, and Zhenmiao Deng. "Chest Wall Motion Model of Cardiac Activity for Radar-Based Vital-Sign-Detection System." Sensors 24, no. 7 (2024): 2058. http://dx.doi.org/10.3390/s24072058.
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An increasing number of studies on non-contact vital sign detection using radar are now beginning to turn to data-driven neural network approaches rather than traditional signal-processing methods. However, there are few radar datasets available for deep learning due to the difficulty of acquiring and labeling the data, which require specialized equipment and physician collaboration. This paper presents a new model of heartbeat-induced chest wall motion (CWM) with the goal of generating a large amount of simulation data to support deep learning methods. An in-depth analysis of published CWM data collected by the VICON Infrared (IR) motion capture system and continuous wave (CW) radar system during respiratory hold was used to summarize the motion characteristics of each stage within a cardiac cycle. In combination with the physiological properties of the heartbeat, appropriate mathematical functions were selected to describe these movement properties. The model produced simulation data that closely matched the measured data as evaluated by dynamic time warping (DTW) and the root-mean-squared error (RMSE). By adjusting the model parameters, the heartbeat signals of different individuals were simulated. This will accelerate the application of data-driven deep learning methods in radar-based non-contact vital sign detection research and further advance the field.
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Khobkhun, Fuengfa, Mark A. Hollands, Jim Richards, and Amornpan Ajjimaporn. "Can We Accurately Measure Axial Segment Coordination during Turning Using Inertial Measurement Units (IMUs)?" Sensors 20, no. 9 (2020): 2518. http://dx.doi.org/10.3390/s20092518.
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Camera-based 3D motion analysis systems are considered to be the gold standard for movement analysis. However, using such equipment in a clinical setting is prohibitive due to the expense and time-consuming nature of data collection and analysis. Therefore, Inertial Measurement Units (IMUs) have been suggested as an alternative to measure movement in clinical settings. One area which is both important and challenging is the assessment of turning kinematics in individuals with movement disorders. This study aimed to validate the use of IMUs in the measurement of turning kinematics in healthy adults compared to a camera-based 3D motion analysis system. Data were collected from twelve participants using a Vicon motion analysis system which were compared with data from four IMUs placed on the forehead, middle thorax, and feet in order to determine accuracy and reliability. The results demonstrated that the IMU sensors produced reliable kinematic measures and showed excellent reliability (ICCs 0.80–0.98) and no significant differences were seen in paired t-tests in all parameters when comparing the two systems. This suggests that the IMU sensors provide a viable alternative to camera-based motion capture that could be used in isolation to gather data from individuals with movement disorders in clinical settings and real-life situations.
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Otero-González, Iván, Manuel Caeiro-Rodríguez, and Antonio Rodriguez-D’Jesus. "Methods for Gastrointestinal Endoscopy Quantification: A Focus on Hands and Fingers Kinematics." Sensors 22, no. 23 (2022): 9253. http://dx.doi.org/10.3390/s22239253.
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Gastrointestinal endoscopy is a complex procedure requiring the mastery of several competencies and skills. This procedure is in increasing demand, but there exist important management and ethical issues regarding the training of new endoscopists. Nowadays, this requires the direct involvement of real patients and a high chance of the endoscopists themselves suffering from musculoskeletal conditions. Colonoscopy quantification can be useful for improving these two issues. This paper reviews the literature regarding efforts to quantify gastrointestinal procedures and focuses on the capture of hand and finger kinematics. Current technologies to support the capture of data from hand and finger movements are analyzed and tested, considering smart gloves and vision-based solutions. Manus VR Prime II and Stretch Sense MoCap reveal the main problems with smart gloves related to the adaptation of the gloves to different hand sizes and comfortability. Regarding vision-based solutions, Vero Vicon cameras show the main problem in gastrointestinal procedure scenarios: occlusion. In both cases, calibration and data interoperability are also key issues that limit possible applications. In conclusion, new advances are needed to quantify hand and finger kinematics in an appropriate way to support further developments.
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Zhang, Chunzhao, Mingjie Dong, Jianfeng Li, and Qiang Cao. "A Modified Kinematic Model of Shoulder Complex Based on Vicon Motion Capturing System: Generalized GH Joint with Floating Centre." Sensors 20, no. 13 (2020): 3713. http://dx.doi.org/10.3390/s20133713.
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Due to the complex coupling motion of shoulder mechanism, only a small amount of quantitative information is available in the existing literature, although various kinematic models of the shoulder complex have been proposed. This study focused on the specific motion coupling relationship between glenohumeral (GH) joint center displacement variable quantity relative to the thorax coordinate system and humeral elevation angle to describe the shoulder complex. The mechanism model of shoulder complex was proposed with an algorithm designed. Subsequently, twelve healthy subjects performed right arm raising, lowering, as well as raising and lowering (RAL) movements in sixteen elevation planes, and the motion information of the markers attached to the thorax, scapula, and humerus was captured by using Vicon motion capturing system. Then, experimental data was processed and the generalized GH joint with floating center was quantized. Simultaneously, different coupling characteristics were detected during humerus raising as well as lowering movements. The motion coupling relationships in different phases were acquired, and a modified kinematic model was established, with the description of overall motion characteristics of shoulder complex validated by comparing the results with a prior kinematic model from literature, showing enough accuracy for the design of upper limb rehabilitation robots.
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Zhang, Minhua, N. Artan, Huanying Gu, et al. "Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker." Sensors 18, no. 10 (2018): 3549. http://dx.doi.org/10.3390/s18103549.
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Gait abnormalities are one of the distinguishing symptoms of patients with Parkinson’s disease (PD) that contribute to fall risk. Our study compares the gait parameters of people with PD when they walk through a predefined course under different haptic speed cue conditions (1) without assistance, (2) pushing a conventional rolling walker, and (3) holding onto a self-navigating motorized walker under different speed cues. Six people with PD were recruited at the New York Institute of Technology College of Osteopathic Medicine to participate in this study. Spatial posture and gait data of the test subjects were collected via a VICON motion capture system. We developed a framework to process and extract gait features and applied statistical analysis on these features to examine the significance of the findings. The results showed that the motorized walker providing a robust haptic cue significantly improved gait symmetry of PD subjects. Specifically, the asymmetry index of the gait cycle time was reduced from 6.7% when walking without assistance to 0.56% and below when using a walker. Furthermore, the double support time of a gait cycle was reduced by 4.88% compared to walking without assistance.
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Rhudy, Matthew B., Joseph M. Mahoney, and Allison R. Altman-Singles. "Knee Angle Estimation with Dynamic Calibration Using Inertial Measurement Units for Running." Sensors 24, no. 2 (2024): 695. http://dx.doi.org/10.3390/s24020695.
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The knee flexion angle is an important measurement for studies of the human gait. Running is a common activity with a high risk of knee injury. Studying the running gait in realistic situations is challenging because accurate joint angle measurements typically come from optical motion-capture systems constrained to laboratory settings. This study considers the use of shank and thigh inertial sensors within three different filtering algorithms to estimate the knee flexion angle for running without requiring sensor-to-segment mounting assumptions, body measurements, specific calibration poses, or magnetometers. The objective of this study is to determine the knee flexion angle within running applications using accelerometer and gyroscope information only. Data were collected for a single test participant (21-year-old female) at four different treadmill speeds and used to validate the estimation results for three filter variations with respect to a Vicon optical motion-capture system. The knee flexion angle filtering algorithms resulted in root-mean-square errors of approximately three degrees. The results of this study indicate estimation results that are within acceptable limits of five degrees for clinical gait analysis. Specifically, a complementary filter approach is effective for knee flexion angle estimation in running applications.