Journal articles: 'Human body movement'

1

Challis, John H. "Body Size and Movement." Kinesiology Review 7, no. 1 (February 1, 2018): 88–93. http://dx.doi.org/10.1123/kr.2017-0061.

Full text

Abstract:

Humans of different sizes move in very similar ways despite the size difference. The principles of geometric scaling provide insight into the reasons for the similar movement patterns observed. In human locomotion, body size influences endurance running performance, with shorter body sizes being an advantage due to better heat exchange compared with their taller counterparts. Scaling can also show the equivalence of child gait with that of adults in terms of stride length and walking velocity. In humans, maximum jump height is independent of standing height, a scaling result which has been validated by examining jumps with mass added to the body. Finally, strength scales in proportion to body mass to the two-thirds power, which explains why shorter people have greater relative body strength compared with taller individuals. Geometric scaling reveals the underlying principles of many human movement forms.

APA, Harvard, Vancouver, ISO, and other styles

2

Yokota, Sho, Hiroshi Hashimoto, Yasuhiro Ohyama, and Jinhua She. "Electric Wheelchair Controlled by Human Body Motion -Classification of Body Motion and Improvement of Control Method-." Journal of Robotics and Mechatronics 22, no. 4 (August 20, 2010): 439–46. http://dx.doi.org/10.20965/jrm.2010.p0439.

Full text

Abstract:

This paper classifies human body movements when an electric wheelchair was controlled using a Human Body Motion Interface (HBMI) by a Self-Organizing Map (SOM) and proposes control based on classification results. The Human Body Motion Interface (HBMI) uses body movement following voluntary motion. This study focuses on electric wheelchair control as an application of the HBMI. The viability of the HBMI was confirmed using Center Of Weight (C.O.W.) from pressure distribution information on backrest in the wheelchair to control it. If body movement concentrated on a single point at C.O.W. in pressure distribution, a problem occurred because the system would recognize even different body-movement patterns as the same movement. We call body movement taking the same C.O.W. even if it has a different body-movement pattern movement confusion. We solve the movement confusion problem and enhance wheelchair control, classifying body movement using the SOM and reflecting this classification result to improve wheelchair control. Experimental results showed that movement confusion is solved and wheelchair control improved.

APA, Harvard, Vancouver, ISO, and other styles

3

Kourtzi, Zoe, and Maggie Shiffrar. "Dynamic Representations of Human Body Movement." Perception 28, no. 1 (January 1999): 49–62. http://dx.doi.org/10.1068/p2870.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Pirhonen, Antti, Kai Tuuri, and Cumhur Erkut. "Human-Technology Choreographies: Body, Movement, and Space." Human Technology 12, no. 1 (May 31, 2016): 1–4. http://dx.doi.org/10.17011/ht/urn.201605192617.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Rammal, Julie. "The Pandemic of the E-Human Movement." Journal of SARS-CoV-2 Research 1 (March 2, 2021): 2. http://dx.doi.org/10.36013/sarc-cov-2.v1i.54.

Full text

Abstract:

The movement's evolution and change have strikingly shut down gyms, health clubs, fitness classes, live, personal training jobs, and more during the pandemic. The massive shift has opened up live streaming and online classes; however, we may be soon facing a new body and mind pandemic if we are not aware of the side effects. The longer we are away from socializing and being trained with technique and form, the human body will later experience a separation between body, mind, and soul with dormant emotions and feelings. . In fact, the mind and memory may start to decrease, and focus and discipline will fade. Through the Holistic methodology, we can re-ignite the human being and preserve the humans to continue moving, healing, breathing in a language that the body understands.

APA, Harvard, Vancouver, ISO, and other styles

6

Caldwell, Graham E. "Human Body Dynamics: Classical Mechanics and Human Movement. Aydin Tozeren." Quarterly Review of Biology 76, no. 1 (March 2001): 120–21. http://dx.doi.org/10.1086/393855.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Yu, Shin-Yuan, and Bernard J. Martin. "Movement Control Phases of Upper Body Coordination in Visually Guided Reach Movements." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 12 (October 2009): 834–38. http://dx.doi.org/10.1177/154193120905301215.

Full text

Abstract:

Coordination of human movement includes temporal and spatial aspects. Under the assumption that the implicit movement sequence of body segments may be associated with visual feedback information, the activation timing, time to peak velocity of the hand and sequencing of joint movements were investigated in this study. The results show that variations in movement time with target azimuth and distance fit a quadratic regression model. In addition, the time to peak velocity reveals a movement scaling property in the context of self-imposed movement speed. Finally, the sequencing of joint movement also varies with target azimuth and distance. These motor behavior properties and movement characteristics can be used to model human reach movement in a dynamic manner and to estimate task durations.

APA, Harvard, Vancouver, ISO, and other styles

8

Ogawa, Kenji, and Toshio Inui. "Reference Frame of Human Medial Intraparietal Cortex in Visually Guided Movements." Journal of Cognitive Neuroscience 24, no. 1 (January 2012): 171–82. http://dx.doi.org/10.1162/jocn_a_00132.

Full text

Abstract:

Visually guided reaching involves the transformation of a spatial position of a target into a body-centered reference frame. Although involvement of the posterior parietal cortex (PPC) has been proposed in this visuomotor transformation, it is unclear whether human PPC uses visual or body-centered coordinates in visually guided movements. We used a delayed visually guided reaching task, together with an fMRI multivoxel pattern analysis, to reveal the reference frame used in the human PPC. In experiments, a target was first presented either to the left or to the right of a fixation point. After a delay period, subjects moved a cursor to the position where the target had previously been displayed using either a normal or a left–right reversed mouse. The activation patterns of normal sessions were first used to train the classifier to predict movement directions. The activity patterns of the reversed sessions were then used as inputs to the decoder to test whether predicted directions correspond to actual movement directions in either visual or body-centered coordinates. When the target was presented before actual movement, the predicted direction in the medial intraparietal cortex was congruent with the actual movement in the body-centered coordinates, although the averaged signal intensities were not significantly different between two movement directions. Our results indicate that the human medial intraparietal cortex uses body-centered coordinates to encode target position or movement directions, which are crucial for visually guided movements.

APA, Harvard, Vancouver, ISO, and other styles

9

Sakata, Mamiko, Mariko Shiba, Kiyoshi Maiya, and Makoto Tadenuma. "Human Body as the Medium in Dance Movement." International Journal of Human-Computer Interaction 17, no. 3 (September 2004): 427–44. http://dx.doi.org/10.1207/s15327590ijhc1703_7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Chang, Zheng, Xiaojuan Ban, Qing Shen, and Jing Guo. "Research on Three-dimensional Motion History Image Model and Extreme Learning Machine for Human Body Movement Trajectory Recognition." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/528190.

Full text

Abstract:

Based on the traditional machine vision recognition technology and traditional artificial neural networks about body movement trajectory, this paper finds out the shortcomings of the traditional recognition technology. By combining the invariant moments of the three-dimensional motion history image (computed as the eigenvector of body movements) and the extreme learning machine (constructed as the classification artificial neural network of body movements), the paper applies the method to the machine vision of the body movement trajectory. In detail, the paper gives a detailed introduction about the algorithm and realization scheme of the body movement trajectory recognition based on the three-dimensional motion history image and the extreme learning machine. Finally, by comparing with the results of the recognition experiments, it attempts to verify that the method of body movement trajectory recognition technology based on the three-dimensional motion history image and extreme learning machine has a more accurate recognition rate and better robustness.

APA, Harvard, Vancouver, ISO, and other styles

11

Alexander, R. McN. "Simple Models of Human Movement." Applied Mechanics Reviews 48, no. 8 (August 1, 1995): 461–70. http://dx.doi.org/10.1115/1.3005107.

Full text

Abstract:

Many mathematical models of human movement have sought to represent as much as possible of the complexity of the human body but others, the subjects of this review, are extremely simple. Some treat the body as a point mass walking on rigid, massless legs or bouncing along on a spring. Others incorporate a few limb segments with appropriate masses, operated in some cases by a few muscles with realistic physiological properties. These simple models have been used to tackle questions such as these: why do we walk at low speeds but break into a run to go faster? Why do we change the length of our strides, and the patterns of force we exert on the ground, as we increase speed? Why do high jumpers run up more slowly than long jumpers and set down the take-off leg at a shallower angle? Why do we activate muscles sequentially, when throwing a ball? In every case the explanatory power of the model is enhanced by its simplicity.

APA, Harvard, Vancouver, ISO, and other styles

12

Yong, Ching Yee, Rubita Sudirman, Nasrul Humaimi Mahmood, and Kim Mey Chew. "Human Body and Body Part Movement Analysis Using Gyroscope, Accelerometer and Compass." Applied Mechanics and Materials 284-287 (January 2013): 3120–25. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3120.

Full text

Abstract:

This study investigates and acts as a trial clinical outcome for human motion and behaviour analysis in consensus of health related quality of life in Malaysia. It was developed to analyse and access the quality of human limbs motion that can be used in hospitals, clinics and human motion researches. An experiment was set up in a laboratory environment with conjunction of analysing human motion and its behaviour. The instruments demonstrate adequate internal consistency of results as below: 1. Compass sensor gives a better result with less standard deviation values especially in x-axis according descriptive statistical data. 2. Compass sensor gives a clearer scatter plot for better classification. 3. R2 (amount of variation explained) for sensor attached on arm is lower than hip and that means data collected from this site have a consistent trend. A

APA, Harvard, Vancouver, ISO, and other styles

13

Tipa, Lazăr. "The movement, the physical exercise, the sportive game, the traditional dance,basic parts for maintaining the human body health." Annals of "Dunarea de Jos" University of Galati Fascicle XV Physical Education and Sport Management 1 (July 15, 2019): 31–32. http://dx.doi.org/10.35219/efms.2019.1.06.

Full text

Abstract:

Introduction. The human body movements, in our day by day life, conscious or/and subconscious, accompany us permanently and they are presented in various ways. The movement accompanies our life, life is accompanied the movement, healthy mind in a healthy body. ”Menssana in corporesano”.

APA, Harvard, Vancouver, ISO, and other styles

14

Swaminathan, Dilip, Harvey Thornburg, Jessica Mumford, Stjepan Rajko, Jodi James, Todd Ingalls, Ellen Campana, Gang Qian, Pavithra Sampath, and Bo Peng. "A Dynamic Bayesian Approach to Computational Laban Shape Quality Analysis." Advances in Human-Computer Interaction 2009 (2009): 1–17. http://dx.doi.org/10.1155/2009/362651.

Full text

Abstract:

Laban movement analysis (LMA) is a systematic framework for describing all forms of human movement and has been widely applied across animation, biomedicine, dance, and kinesiology. LMA (especially Effort/Shape) emphasizes how internal feelings and intentions govern the patterning of movement throughout the whole body. As we argue, a complex understanding of intention via LMA is necessary for human-computer interaction to becomeembodiedin ways that resemble interaction in the physical world. We thus introduce a novel, flexible Bayesian fusion approach for identifying LMA Shape qualities from raw motion capture data in real time. The method uses a dynamic Bayesian network (DBN) to fuse movement features across the body and across time and as we discuss can be readily adapted for low-cost video. It has delivered excellent performance in preliminary studies comprising improvisatory movements. Our approach has been incorporated inResponse, a mixed-reality environment where users interact via natural, full-body human movement and enhance their bodily-kinesthetic awareness through immersive sound and light feedback, with applications to kinesiology training, Parkinson's patient rehabilitation, interactive dance, and many other areas.

APA, Harvard, Vancouver, ISO, and other styles

15

Wulf, Christoph. "The Movement of Repetition: Incorporation through Mimetic, Ritual and Imaginative Movements." Gestalt Theory 42, no. 2 (August 1, 2020): 87–100. http://dx.doi.org/10.2478/gth-2020-0010.

Full text

Abstract:

SummaryThe movement of repetition is irrevocably linked to the constitution of the human body and is therefore a human condition. The process of hominisation makes this clear. In the body of Homo sapiens and in his movements a connection between nature and culture is created. The movement of repetition is of central importance. Repetition is essential for the evolution of Homo sapiens, the development of communities and individuals. Repetitions are mimetic; they lead to productive imitations in which new elements and events also emerge. Mimetic movements and the repetitive aspects they contain open up the historical and cultural world to people. Repetitions in rituals lead to the acquisition of an implicit silent practical body knowledge. The emotions arising in mimetic processes are movements through which an orientation in the world takes place. The imaginations based on the eccentricity of the human being and on movements of repetition contribute to the development of a collective and individual imaginary.

APA, Harvard, Vancouver, ISO, and other styles

16

Wachowicz, Fatima, Catherine J. Stevens, and Timothy P. Byron. "Effects of Balance Cues and Experience on Serial Recall of Human Movement." Dance Research 29, supplement (November 2011): 450–68. http://dx.doi.org/10.3366/drs.2011.0028.

Full text

Abstract:

One way that student dancers learn new contemporary dance, hip-hop or ballroom dancing is by observing and reproducing dance phrases or steps. For experts, learning long and complex sequences may appear effortless whereas for those new to dance, the task is challenging with both motor and cognitive demands. On the cognitive side, the first stage for increasing familiarity or perceptual fluency is registering or encoding material in the short-term memory. With rehearsal, the material may be transferred subsequently to the long-term memory. Theories propose that human memory is cue driven – the more cues that are present while taking information in, that are also present at the time of retrieving the information, the better the recall. In this study, we investigate proprioceptive cues related to relative stability, as cues to short-term memory for recalling a series of simple body movements. We ask: is the feeling of either being in a balanced or unbalanced standing position a cue to short-term memory for movement material? And, if so, are such proprioceptive cues moderated by dance experience? An experiment was designed to test short-term memory for relatively simple body movements. Our aim was to investigate the observation of a series of movements and their immediate recall in the original order by adults with differing levels of specialist movement experience, including dance and martial arts. The experiment task was similar to a dance teacher performing a number of different movements and students recalling those movements immediately by performing them using their body and in the correct order. To minimise intrusion from long-term knowledge of biological motion – as such knowledge may distinguish novices and experts without testing their short-term memory capacity – disconnected or non-flowing simple movements were used as the material to be observed and later recalled. Relative stability in our experiment participants was challenged using the Tandem Romberg Position (TRP), which involves standing toe-to-heel in a line, and we reasoned that this should not impair experts' recall of movements using their body, relative to those less expert. According to the concept of encoding specificity from working memory (WM) theory, recalling items in the correct order is most likely when there is a match between cues during encoding and retrieval. If relative stability is a contextual cue during observing and learning movement, then recall should be greatest when contexts match during encoding and retrieval. In Experiment 1, low and moderate movement experience groups observed and then performed four body movements; in Experiment 2, and following the same procedure, low, moderate, and high movement experience groups recalled six movements. Recall span and movement experience were positively correlated – the more movement training, the greater the memory span. In Experiment 1, encoding specificity was observed, indicating that proprioception can be a cue to recalling movement from WM. The results indicate that changing proprioceptive cues can reduce memory span for movement, especially among those with low or moderate experience. In teaching new movers, there is a need to maximise the cognitive resources available for learning, by reducing the number of competing demands on attention and working memory. The present results also support the common practice in dance companies to disrupt context-specific cues by changing location – and training the execution of movement phrases, in different spatial orientations. Generalisation to different environmental contexts appears to strengthen the memory trace. For dance teachers, the present results identify potential impairments to recall, the advantages of initially minimizing competing demands, and later diversifying contextual cues, including varying environments where new material is learned and rehearsed.

APA, Harvard, Vancouver, ISO, and other styles

17

Cignetti, Fabien, Sébastien Caudron, Marianne Vaugoyeau, and Christine Assaiante. "Body Schema Disturbance in Adolescence: From Proprioceptive Integration to the Perception of Human Movement." Journal of Motor Learning and Development 1, no. 3 (September 2013): 49–58. http://dx.doi.org/10.1123/jmld.1.3.49.

Full text

Abstract:

There is evidence that adolescence is a critical period in development, most likely involving important modifications of the body schema and of the sensorimotor representations. The present study addressed this issue, by investigating the differences between adolescents and adults regarding the integration of proprioceptive information at both perceptual and postural levels and the visual recognition of human movement. Proprioceptive integration was examined using muscle-tendon vibration that evoked either a postural response or an illusory sensation of movement. The ability to recognize human movement was investigated from a paradigm where the participants had to discern between human movements performed with and without gravity. The study produced three main findings. First, the adolescents had larger postural responses to tendon vibrations than the adults, with visual information enabling them to reduce this exaggerated postural reaction. Second, the adolescents had a greater illusory perception of movement compared with the adults. Third, the adolescents had the same perceptual ability as adults in the human movement perception task. In conclusion, we were able to highlight notable differences between adolescents and young adults, which confirms the late maturation of multisensory integration for postural control and the privileged visual contribution to postural control.

APA, Harvard, Vancouver, ISO, and other styles

18

Morita, Tomoyo, Nobuko Katayama, Michiteru Kitazaki, and Shoji Itakura. "Development of Perception of Human and Robot Body Movement." Journal of the Robotics Society of Japan 28, no. 4 (2010): 463–69. http://dx.doi.org/10.7210/jrsj.28.463.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Wang, Jun Jie. "The Visual Simulation Analysis of Human Body Movement Model." Applied Mechanics and Materials 556-562 (May 2014): 3913–16. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3913.

Full text

Abstract:

This paper proposes the re-built human body movement model with multiple cameras. In the tracking frame of the non-linear optimization strategy, the paper builds the body dynamic model to dynamically simulate the human movement which effectively solves the issues of the body parts overlap and tracking errors accumulate. Compared with traditional methods, the required equipment is very economic and the matching accuracy of the algorithm is quite high. The paper applies the athletes as the experimental examples which illustrate the proposed algorithm can effectively increase the 3D image tracking matching accuracy in dynamic videos as the analysis basis.

APA, Harvard, Vancouver, ISO, and other styles

20

Nishida, Yoshifumi, Taketoshi Mori, Tomomasa Sato, and Shigeoki Hirai. "Understanding physiological status through monitoring of human body movement." Advanced Robotics 13, no. 3 (January 1998): 319–20. http://dx.doi.org/10.1163/156855399x00720.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Nishida, Yoshifumi, Taketoshi Mori, Tomomasa Sato, and Shigeoki Hirai. "Understanding physiological status through monitoring of human body movement." Advanced Robotics 13, no. 1 (January 1, 1999): 319–20. http://dx.doi.org/10.1163/156855399x01521.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Martynenko, Oleksandr, Syn Schmitt, Alexandra Bayer, Julian Blaschke, and Christian Mayer. "A movement generation algorithm for FE Human Body Models." PAMM 17, no. 1 (December 2017): 201–2. http://dx.doi.org/10.1002/pamm.201710070.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Orgs, Guido, and Patrick Haggard. "Temporal binding during apparent movement of the human body." Visual Cognition 19, no. 7 (August 2011): 833–45. http://dx.doi.org/10.1080/13506285.2011.598481.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Batchuluun, Ganbayar, Rizwan Ali Naqvi, Wan Kim, and Kang Ryoung Park. "Body-movement-based human identification using convolutional neural network." Expert Systems with Applications 101 (July 2018): 56–77. http://dx.doi.org/10.1016/j.eswa.2018.02.016.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Yu, Yang. "Accurate Recognition Method of Human Body Movement Blurred Image Gait Features Using Graph Neural Network." Mobile Information Systems 2021 (July 14, 2021): 1–11. http://dx.doi.org/10.1155/2021/1684726.

Full text

Abstract:

In view of the problems of low precision, poor quality, and long time of gait feature recognition due to the influence of human body movement environment on the recognition process of the current gait feature recognition method of human body movement blurred image, a new method of gait feature recognition based on graph neural network (GNN) method is proposed. The gait features of human movement blurred images were extracted, and the fusion clustering recognition of the GNN algorithm was used to locate the gait features of human movement blurred images. The gait features of human body movement blurred images were located by the GNN method. According to the contour feature point info of the human body movement blurred image, the standard deviation of gait feature location of the human body movement blurred image was calculated, the gait feature of the blurred image of human body movement was reconstructed, and the gait recognition of the human body movement blurred image was achieved. The results show that the extraction of human movement is good, with high positioning confidence, good recognition quality, average recognition accuracy of 92%, and greatly shortened recognition time.

APA, Harvard, Vancouver, ISO, and other styles

26

Zhang, Linyi, Xi Chen, Pengfei Li, Chuang Wang, and Mengxuan Li. "A Method for Measuring the Height of Hand Movements Based on a Planar Array of Electrostatic Induction Electrodes." Sensors 20, no. 10 (May 22, 2020): 2943. http://dx.doi.org/10.3390/s20102943.

Full text

Abstract:

This paper proposes a method based on a planar array of electrostatic induction electrodes, which uses human body electrostatics to measure the height of hand movements. The human body is electrostatically charged for a variety of reasons. In the process of a hand movement, the change of a human body’s electric field is captured through the electrostatic sensors connected to the electrode array. A measurement algorithm for the height of hand movements is used to measure the height of hand movements after the direction of it has been obtained. Compared with the tridimensional array, the planar array has the advantages of less space and easy deployment; therefore, it is more widely used. In this paper, a human hand movement sensing system based on human body electrostatics was established to perform verification experiments. The results show that this method can measure the height of hand movements with good accuracy to meet the requirements of non-contact human-computer interactions.

APA, Harvard, Vancouver, ISO, and other styles

27

Takizawa, Fumio. "On structurizing the human body : A phenomenological approach to the human movement." Taiikugaku kenkyu (Japan Journal of Physical Education, Health and Sport Sciences) 32, no. 4 (1988): 211–19. http://dx.doi.org/10.5432/jjpehss.kj00003391541.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Beurze, S. M., I. Toni, L. Pisella, and W. P. Medendorp. "Reference Frames for Reach Planning in Human Parietofrontal Cortex." Journal of Neurophysiology 104, no. 3 (September 2010): 1736–45. http://dx.doi.org/10.1152/jn.01044.2009.

Full text

Abstract:

To plan a reaching movement, the brain must integrate information about the spatial goal of the reach with positional information about the selected hand. Recent monkey neurophysiological evidence suggests that a mixture of reference frames is involved in this process. Here, using 3T functional magnetic resonance imaging (fMRI), we tested the role of gaze-centered and body-centered reference frames in reach planning in the human brain. Fourteen human subjects planned and executed arm movements to memorized visual targets, while hand starting position and gaze direction were monitored and varied on a trial-by-trial basis. We further introduced a variable delay between target presentation and movement onset to dissociate cerebral preparatory activity from stimulus- and movement-related responses. By varying the position of the target and hand relative to the gaze line, we distinguished cerebral responses that increased for those movements requiring the integration of peripheral target and hand positions in a gaze-centered frame. Posterior parietal and dorsal premotor areas showed such gaze-centered integration effects. In regions closer to the primary motor cortex, body-centered hand position effects were found. These results suggest that, in humans, spatially contiguous neuronal populations operate in different frames of reference, supporting sensorimotor transformations according to gaze-centered or body-centered coordinates. The former appears suited for calculating a difference vector between target and hand location, whereas the latter may be related to the implementation of a joint-based motor command.

APA, Harvard, Vancouver, ISO, and other styles

29

Aulia, Eva, and Christian Aditya. "“PANAWA” Animation Movement Design: Rat Character With Human Personality." ULTIMART Jurnal Komunikasi Visual 10, no. 1 (March 23, 2018): 87–97. http://dx.doi.org/10.31937/ultimart.v10i1.767.

Full text

Abstract:

Good animation movie needs to be communicative and deliver its meaning to the audience. One of the most important aspects is to design an effective movement for the animation. In movement, the thoughts and characteristics of a character are shown. Expression of a characters can be seen through their movement and body gestures. Body gestures show us an expression, emotions, traits, thoughts, and each different characters. Characters don’t move effectively if the movement doesn’t correspond to its characteristics. To understand the characteristics we need to understand each characters physiology, sociology, and psychology. In this research, the author explains and analyze the process of designing a rat movement with a human personality. Keywords: animation, movement, body language, expression

APA, Harvard, Vancouver, ISO, and other styles

30

Kim, Heon-Jeong, and Bernard J. Martin. "Biodynamic Characteristics of Upper Limb Reaching Movements of the Seated Human Under Whole-Body Vibration." Journal of Applied Biomechanics 29, no. 1 (February 2013): 12–22. http://dx.doi.org/10.1123/jab.29.1.12.

Full text

Abstract:

Simulation of human movements is an essential component for proactive ergonomic analysis and biomechanical model development (Chaffin, 2001). Most studies on reach kinematics have described human movements in a static environment, however the models derived from these studies cannot be applied to the analysis of human reach movements in vibratory environments such as in-vehicle operations. This study analyzes three-dimensional joint kinematics of the upper extremity in reach movements performed in static and specific vibratory conditions and investigates vibration transmission to shoulder, elbow, and hand along the body path during pointing tasks. Thirteen seated subjects performed reach movements to five target directions distributed in their right hemisphere. The results show similarities in the characteristics of movement patterns and reach trajectories of upper body segments for static and dynamic environments. In addition, vibration transmission through upper body segments is affected by vibration frequency, direction, and location of the target to be reached. Similarities in the pattern of movement trajectories revealed by filtering vibration-induced oscillations indicate that coordination strategy may not be drastically different in static and vibratory environments. This finding may facilitate the development of active biodynamic models to predict human performance and behavior under whole body vibration exposure.

APA, Harvard, Vancouver, ISO, and other styles

31

Nashner, Lewis M., and Gin McCollum. "The organization of human postural movements: A formal basis and experimental synthesis." Behavioral and Brain Sciences 8, no. 1 (March 1985): 135–50. http://dx.doi.org/10.1017/s0140525x00020008.

Full text

Abstract:

AbstractA scheme for understanding the organization of human postural movements is developed in the format of a position paper. The structural characteristics of the body and the geometry of muscular actions are incorporated into a three-dimensional graphical representation of human movement mechanics in the sagittal plane. A series of neural organizational hypotheses limit a theoretically infinite number of combinations of muscle contractions and associated movement trajectories for performing postural corrections: (1) Controls are organized to use the minimum number of muscles; (2) frequently performed movements are organized to require a minimum of neural decision-making.These hypotheses lead to the prediction that postural movements are composed of muscle contractile strategies derived from a limited set of distinct contractile patterns. The imposition of two mechanical constraints related to the configuration of support and to requirements for body stability with respect to gravity predict the conditions under which individual movement strategies will be deployed.A complementary organizational scheme for the senses is developed. We show that organization of postural movements into combinations of distinct strategies simplifies the interpretation of sensory inputs. The fine-tuning of movement strategies can be accomplished by breaking down the complex array of feedback information into a series of scalar quantities related to the parameters of the movement strategies. For example, the magnitude, aim, and curvature of the movement trajectory generated by an individual strategy can be adjusted independently.The second half of the report compares theoretical predictions with a series of actual experimental observations on normal subjects and patients with known sensory and motor disorders. Actual postural movements conform to theoretical predictions about the composition of individual movement strategies and the conditions under which each strategy is used. Observations on patients suggest how breakdowns in individual steps within the logical process of organization can lead to specific movement abnormalities.Discussion focuses on the areas needing further experimentation and on the implications of the proposed organizational scheme. We conclude that although our organizational scheme is not new in demonstrating the need for simplifying the neural control of movement, it is perhaps original in imposing discrete logical control upon a continuous mechanical system. The attraction of the scheme is that it provides a framework compatible with both mechanical and physiological information and amenable to experimental testing.

APA, Harvard, Vancouver, ISO, and other styles

32

Ganea, Daniel, Elena Mereuta, and Claudiu Mereuta. "Human Body Kinematics and the Kinect Sensor." Applied Mechanics and Materials 555 (June 2014): 707–12. http://dx.doi.org/10.4028/www.scientific.net/amm.555.707.

Full text

Abstract:

For a good understanding of human body biomechanics scientist all over the world are using motion capture systems (MoCap). Such a system is mainly composed of one or multiple high performance cameras and a process unit for gathering key information. A low – cost solution for these systems is the Kinect sensor from Microsoft. The Kinect sensor is a depth camera that can be used for assessing full – body movements in terms of joint and/or segment positions and movement geometries. The resulting data can be used in the robotic industry, in clinical solutions, video gaming industries etc. The functionality of the equipment has been highly debated in many studies wherefrom result that the depth camera in question is accurate and reliable in studies such as human biomechanics. The aim of this paper is to explain the logics behind this equipment and its functionality. Therefore we present a new approach in constructing a 3D human skeleton model that can be used for assessing asymmetries by determining the human silhouette in 3D, the position of human body key points and joints, the angles between the track segments and full body kinematics.

APA, Harvard, Vancouver, ISO, and other styles

33

Zhang, Lijuan. "Research on Human Body Movement Posture Based on Inertial Sensor." International Journal Bioautomation 22, no. 2 (June 2018): 179–86. http://dx.doi.org/10.7546/ijba.2018.22.2.179-186.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Wakabayashi, Akinori, Satona Motomura, and Shohei Kato. "Associative Motion Generation for Humanoid Robot Reflecting Human Body Movement." International Journal of Fuzzy Logic and Intelligent Systems 12, no. 2 (June 30, 2012): 121–30. http://dx.doi.org/10.5391/ijfis.2012.12.2.121.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Pribanic, T., P. Sturm, and P. Bacic. "A human body model for movement analysis using optoelectronic system." Journal of Biomechanics 39 (January 2006): S645. http://dx.doi.org/10.1016/s0021-9290(06)85689-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Pirhonen, Antti, Kai Tuuri, and Cumhur Erkut. "Human-Technology Choregraphies: Body, Movement, and Space in Expressive Interactions." Human Technology 13, no. 1 (May 31, 2017): 6–9. http://dx.doi.org/10.17011/ht/urn.201705272515.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Mohr, C., P. Brugger, H. S. Bracha, T. Landis, and I. Viaud-Delmon. "Human side preferences in three different whole-body movement tasks☆." Behavioural Brain Research 151, no. 1-2 (May 5, 2004): 321–26. http://dx.doi.org/10.1016/j.bbr.2003.09.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Kot, Andrzej, and Agata Nawrocka. "Balance Maintaining by Human." Solid State Phenomena 248 (March 2016): 155–60. http://dx.doi.org/10.4028/www.scientific.net/ssp.248.155.

Full text

Abstract:

Harmonious cooperation of the skeletal, muscular and nervous systems, forming a human motion organ, is responsible for all undertaken movement activities. Motion organ in the illustrated embodiment responsible not only for two basic motion activities, locomotion and manipulation, but also for maintaining the posture of the human body. Standing posture control makes a particular dimension of physical activity, because correct, stable posture determines the ability to perform most human movements. In the case of a man to maintain a balance in a standing position seems to be something obvious and does not require much effort, but with the advent of lesions or aging we begin to see how complex it is the process of balance control. The changes lead to impaired balance control which in turn can lead to the appearance of postural instability and in extreme circumstances, even to collapse. Maintaining a stable posture it is primarily associated with motor control provided by the human nervous system. The nervous system acts as an posture control system and most of all giving to a body well-defined silhouette. This control relies heavily on the integration of information from the human receptor system. Muscle, joint, tendon and skin receptors communicate first to the brain information about the movement and position of individual body parts and then feedback these signals to the muscles, causing reflex reactions allowing for correction of posture and thus return the center of gravity to a position that maintaining equilibrium. Subdivide those human body into segments linked closely with the system osteoarthritis limbs and trunk can create a system of interconnected pendulums with many degrees of freedom. In the case of standing it will be largely complicated inverted pendulums system by which activities phenomena associated with maintaining balance and locomotion can be modeled. If additionally in an upright position, taking into account the natural motion restrictions movements in all joints except the ankles will be blocked, the body will be a close approximation behave like a rigid body. So we can assume that for supporting the human body at the ankle, it will behave like an inverted pendulum. The article presents the ways of describing the equilibrium of man as an inverted pendulum.

APA, Harvard, Vancouver, ISO, and other styles

39

Hoffmann, Errol R., Alan H. S. Chan, and P. T. Heung. "Head Rotation Movement Times." Human Factors: The Journal of the Human Factors and Ergonomics Society 59, no. 6 (March 24, 2017): 986–94. http://dx.doi.org/10.1177/0018720817701000.

Full text

Abstract:

Objective: The aim of this study was to measure head rotation movement times in a Fitts’ paradigm and to investigate the transition region from ballistic movements to visually controlled movements as the task index of difficulty (ID) increases. Background: For head rotation, there are gaps in the knowledge of the effects of movement amplitude and task difficulty around the critical transition region from ballistic movements to visually controlled movements. Method: Under the conditions of 11 ID values (from 1.0 to 6.0) and five movement amplitudes (20° to 60°), participants performed a head rotation task, and movement times were measured. Results: Both the movement amplitude and task difficulty have effects on movement times at low IDs, but movement times are dependent only on ID at higher ID values. Movement times of participants are higher than for arm/hand movements, for both ballistic and visually controlled movements. The information-processing rate of head rotational movements, at high ID values, is about half that of arm movements. Conclusion: As an input mode, head rotations are not as efficient as the arm system either in ability to use rapid ballistic movements or in the rate at which information may be processed. Application: The data of this study add to those in the review of Hoffmann for the critical IDs of different body motions. The data also allow design for the best arrangement of display that is under the design constraints of limited display area and difficulty of head-controlled movements in a data-inputting task.

APA, Harvard, Vancouver, ISO, and other styles

40

Okui, Haruka. "Deformation of the Human Body." Chiasmi International 22 (2020): 351–66. http://dx.doi.org/10.5840/chiasmi20202232.

Full text

Abstract:

In the Sorbonne lectures on the philosophical and psychological inquiry of child development, Merleau-Ponty offers a fundamental insight about imitation. Denying the representation-based explanation of imitation, he proposes that gestures occur without representation through the body-object relation, such as “precommunication” based on the works of body schema. Merleau-Ponty’s thought could be examined by way of more practical examples of body techniques. This paper describes the experience of object manipulation, in particular, Bunraku puppetry. Because three puppeteers manipulate a single puppet together in Bunraku, this example might be a challenge to an ordinary assumption that a body is owned by an individual and that inner thoughts control the body. Merleau-Ponty’s insight suggests that the puppeteers share another type of body schema that is not internalized to their individual bodies but emerges afresh in each performance through collaborative movement.

APA, Harvard, Vancouver, ISO, and other styles

41

Zhou, Yanhong. "Role of Human Body Posture Recognition Method Based on Wireless Network Kinect in Line Dance Aerobics and Gymnastics Training." Wireless Communications and Mobile Computing 2021 (September 21, 2021): 1–12. http://dx.doi.org/10.1155/2021/9208891.

Full text

Abstract:

With the rapid development of the information society, human body gesture recognition has become an important technology for human-computer interaction. This paper combines Kinect’s human bone monitoring technology with auxiliary gymnastics training. The gymnastics and dance training can correct students’ wrong movements in time through feedback and improve the training efficiency, so as to meet the needs of nature and harmony of human-machine interaction. In this paper, based on the wireless network Kinect, the human body posture recognition method and tracking technology are studied, and the joint point angle representation method based on the fixed axis is proposed, and the posture recognition method based on the joint point angle is improved, which can accurately recognize the human body posture. Aiming at the situation that the human joint points are occluded, the human joint point repair algorithm is improved. The algorithm is based on the proportion of human bone nodes and the characteristics of human motion, and based on geometric principles, it repairs the occluded points. The feasibility of the original joint point data, angle feature, and distance feature in expressing human behavior is analyzed through experiments, a standard gymnastics movement database is established, and new gymnastics movements can be entered at any time. A gymnastics auxiliary training system is designed, which can analyze and evaluate the exercises of the trainer from the joint point coordinates and the angle formed by the joints and provide the trainer with intuitive error correction prompts. The human body posture recognition method studied in this paper can accurately give the difference between the trainer’s movement and the standard movement, and the trainer can adjust the movement posture according to the prompts, improve the level of gymnastics, and achieve the purpose of auxiliary training. Experiments show that the algorithm model has an accuracy rate of 95.7% for human body posture recognition, and it plays a huge role in line dance aerobics and gymnastics training.

APA, Harvard, Vancouver, ISO, and other styles

42

Bao, Hong, and Zhi Min Liu. "Video-Based Human Motion Analysis." Advanced Materials Research 403-408 (November 2011): 2593–97. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2593.

Full text

Abstract:

In the analysis of human motion, movement was divided into regular motion (such as walking and running) and random motion (such as falling down).Human skeleton model is used in this paper to do the video-based analysis. Key joints on human body were chosen to be traced instead of tracking the entire human body. Shape features like mass center trajectory were used to describe the movement, and to classify human motion. desired results achieved.

APA, Harvard, Vancouver, ISO, and other styles

43

Beurze, Sabine M., Stan Van Pelt, and W. Pieter Medendorp. "Behavioral Reference Frames for Planning Human Reaching Movements." Journal of Neurophysiology 96, no. 1 (July 2006): 352–62. http://dx.doi.org/10.1152/jn.01362.2005.

Full text

Abstract:

At some stage in the process of a sensorimotor transformation for a reaching movement, information about the current position of the hand and information about the location of the target must be encoded in the same frame of reference to compute the hand-to-target difference vector. Two main hypotheses have been proposed regarding this reference frame: an eye-centered and a body-centered frame. Here we evaluated these hypotheses using the pointing errors that subjects made when planning and executing arm movements to memorized targets starting from various initial hand positions while keeping gaze fixed in various directions. One group of subjects ( n = 10) was tested without visual information about hand position during movement planning (unseen-hand condition); another group ( n = 8) was tested with hand and target position simultaneously visible before movement onset (seen-hand condition). We found that both initial hand position and gaze fixation direction had a significant effect on the magnitude and direction of the pointing error. Errors were significantly smaller in the seen-hand condition. For both conditions, though, a reference frame analysis showed that the errors arose at an eye- or hand-centered stage or both, but not at a body-centered stage. As a common reference frame is required to specify a movement vector, these results suggest that an eye-centered mechanism is involved in integrating target and hand position in programming reaching movements. We discuss how simple gain elements modulating the eye-centered target and hand-position signals can account for these results.

APA, Harvard, Vancouver, ISO, and other styles

44

Sardari, Faegheh, Adeline Paiement, Sion Hannuna, and Majid Mirmehdi. "VI-Net—View-Invariant Quality of Human Movement Assessment." Sensors 20, no. 18 (September 15, 2020): 5258. http://dx.doi.org/10.3390/s20185258.

Full text

Abstract:

We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data. Our end-to-end convolutional neural network consists of two stages, where at first a view-invariant trajectory descriptor for each body joint is generated from RGB images, and then the collection of trajectories for all joints are processed by an adapted, pre-trained 2D convolutional neural network (CNN) (e.g., VGG-19 or ResNeXt-50) to learn the relationship amongst the different body parts and deliver a score for the movement quality. We release the only publicly-available, multi-view, non-skeleton, non-mocap, rehabilitation movement dataset (QMAR), and provide results for both cross-subject and cross-view scenarios on this dataset. We show that VI-Net achieves average rank correlation of 0.66 on cross-subject and 0.65 on unseen views when trained on only two views. We also evaluate the proposed method on the single-view rehabilitation dataset KIMORE and obtain 0.66 rank correlation against a baseline of 0.62.

APA, Harvard, Vancouver, ISO, and other styles

45

Fransson, Per-Anders, Magnus Hjerpe, and Rolf Johansson. "Adaptation of multi-segmented body movements during vibratory proprioceptive and galvanic vestibular stimulation." Journal of Vestibular Research 17, no. 1 (September 1, 2007): 47–62. http://dx.doi.org/10.3233/ves-2007-17106.

Full text

Abstract:

Control of orthograde posture and use of adaptive adjustments constitutes essential topics of human movement control, both in maintenance of static posture and in ensuring body stability during locomotion. The objective was to investigate, in twelve normal subjects, how head, shoulder, hip and knee movements and torques induced towards the support surface were affected by vibratory proprioceptive and galvanic vestibular stimulation, and to investigate whether movement pattern, body posture and movement coordination were changed over time. Our findings suggest that the adaptive process to enhance stability involves both alteration of the multi-segmented movement pattern and alteration of body posture. The magnitude of the vibratory stimulation intensity had a prominent influence on the evoked multi-segmented movement pattern. The trial conditions also influenced whether the posture were altered and if these posture adjustments were done directly at stimulation onset or gradually over a longer period. Moreover, the correlation values showed that the subjects, primarily during trials with vibratory stimulation alone, significantly increased the body movement coordination at stimulation onset and maintained this movement pattern throughout the stimulation period. Furthermore, when exposed to balance perturbations the test subjects synchronized significantly the head and torso movements in anteroposterior direction during all trial conditions.

APA, Harvard, Vancouver, ISO, and other styles

46

Niewiadomski, Radoslaw, Ksenia Kolykhalova, Stefano Piana, Paolo Alborno, Gualtiero Volpe, and Antonio Camurri. "Analysis of Movement Quality in Full-Body Physical Activities." ACM Transactions on Interactive Intelligent Systems 9, no. 1 (March 2019): 1–20. http://dx.doi.org/10.1145/3132369.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Ni, Shasha, and Dawei Yao. "Sports Dance Action Recognition System Oriented to Human Motion Monitoring and Sensing." Wireless Communications and Mobile Computing 2021 (June 12, 2021): 1–10. http://dx.doi.org/10.1155/2021/5515352.

Full text

Abstract:

Because of its high research value, action recognition has become a very popular research direction in recent years. However, the research on the combination of motion recognition technology and dance movements is still in its infancy. At the same time, due to the high complexity of dance movements and the problems of human body self-occlusion when performing dances, research on dance video action recognition has been caused. Progress is relatively slow. This article mainly introduces the research of sports dance action recognition system oriented to human motion monitoring and sensing, fully considers the abovementioned problems, and makes in-depth research and analysis on the current excellent action recognition research content in this field. This paper proposes a research method of sports dance movement recognition for human movement monitoring and sensing, including sports dance movement classification algorithm and sports dance movement preprocessing algorithm, which is used to conduct research experiments on sports dance movement recognition for human movement monitoring and sensing. The experimental results of this article show that the average recognition accuracy of the sports dance action recognition system for human motion monitoring and sensing is 92%, which can be used in daily sports dance training and competition.

APA, Harvard, Vancouver, ISO, and other styles

48

Coleman, Rebecca. "Habit, Temporality and the Body as Movement: ‘5:2 your life’." Somatechnics 4, no. 1 (March 2014): 76–94. http://dx.doi.org/10.3366/soma.2014.0113.

Full text

Abstract:

This article explores the 5:2 dietary plan in terms of the relationship between habit, temporality and matter through a focus on the somatechnics of the body in movement. It makes links between some of the recent work on the body and habit which suggests, broadly speaking, that habit is an important way of understanding the body, the social and the temporal, and recent work on the body and animation and automation. This latter set of literature explores how animation, traditionally the preserve of the human, is now also a capacity of non-human entities or technologies and, as such, raises questions as to whether the dichotomies of human/non-human, bodies/technologies and nature/culture can hold. The article examines how a prevalent framing of the blurring of the distinction between animation and automation is to see various technologies as ‘creeping’ into the realm of the body, threatening to turn humans into automations. However, through a focus on critical arguments about the impossibility of maintaining dichotomies, it argues that the 5:2 plan can be understood to emerge from an awareness of, and as a response to, a temporally and socially specific configuration of nature and culture, bodies and technologies, and animation and automation.

APA, Harvard, Vancouver, ISO, and other styles

49

Trevarthen, Colwyn. "Embodied Human Intersubjectivity: Imaginative Agency, To Share Meaning." Cognitive Semiotics 4, no. 1 (August 1, 2012): 6–56. http://dx.doi.org/10.1515/cogsem.2012.4.1.6.

Full text

Abstract:

Abstract Human beings move coherently as individual selves, body and mind adapted to perform complex activities with imagination, knowledge, and skill; perceiving the environment by engaging it with discrimination and care. Human beings live intersubjectively in communitiesl each with the rituals, beliefs, and language of a culture, along with a history of affective relationships and agreed habits for acting in cooperation. These attachments and cultural habits depend upon an ability to sense the intentions, interests, and feelings of other human selves through sympathetic response to motives and emotions as displayed in the shapes and rhythms of body movement: an ability that infants possess from birth. No brain theory explains this ‘felt immediacy’ of others’ life experience, which philosophers of the Scottish Enlightenment accepted as proof that human beings are ‘innately sympathetic’. An innate time sense, capacity to ‘attune’ to the dynamics of body movement, and ability to recognise serial ordering in ‘stories’ all appear essential. A theory of ‘communicative musicality’ employs key parameters of pulse, quality of movement, and narrative, applying them to poetry, music, dance, the prosody and rhetoric of language, and the regulation of skillful practices of all kinds. These elements - present in foetal movements and engaged in through joyful intersubjective ‘story-telling’ from birth - give direct information on how the human brain orchestrates reflex functions to move the body with sensations of grace and efficiency. Their age-related development leads to mastery of language and cultural rituals. They conduct all cognitive functions and all meaning making.

APA, Harvard, Vancouver, ISO, and other styles

50

Hu, Yu Li, Di Liu, and Jin Feng Liu. "Analysis and Research on the Mechanics of Human Body Exoskeleton Movement." Applied Mechanics and Materials 687-691 (November 2014): 191–94. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.191.

Full text

Abstract:

The human skeleton is a mechanical device that people can wear. It put the human intelligence and the robot physical together, relying on human intelligence to control the robot. It is a man-machine system to finish by people's own ability which is unable to complete tasks by robot alone. This paper studies the inherent law and movement mechanics of human body load walking principle. The purpose is to realize the human skeletons wearing comfort and walking stability, and improve the accuracy of the body weight. Analysis of the effect of load on gait parameters provided the necessary theoretical basis for the design of human bones.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Human body movement'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles