Relevant bibliographies by topics / Gait

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Gait'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Gait"

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Chibirov, G. M., T. I. Dolganova, D. V. Dolganov, S. Ducic, and D. A. Popkov. "Changes in the kinematic parameters of gait in children with cerebral palsy after multilevel interventions with the initial patterns of true equinus gait and jump gait." Genij Ortopedii 25, no. 4 (2019): 501–9. http://dx.doi.org/10.18019/1028-4427-2019-25-4-501-509.

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Umair Bin Altaf, M., Taras Butko, and Biing-Hwang Juang. "Acoustic Gaits: Gait Analysis With Footstep Sounds." IEEE Transactions on Biomedical Engineering 62, no. 8 (2015): 2001–11. http://dx.doi.org/10.1109/tbme.2015.2410142.

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Ameer, Mariam A., and Mohamed E. Khallaf. "EFFECT OF TREADMILL GAIT TRAINING ON DIPLEGIC CHILDREN SWING PHASE GAIT PARAMETERS." International Journal of Physiotherapy and Research 5, no. 1 (2017): 1829–35. http://dx.doi.org/10.16965/ijpr.2016.200.

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Gao, Shuo, Jing Yun, Yumeng Zhao, and Limin Liu. "Gait‐D: Skeleton‐based gait feature decomposition for gait recognition." IET Computer Vision 16, no. 2 (2021): 111–25. http://dx.doi.org/10.1049/cvi2.12070.

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Tang, Chaoquan, Lulu Sun, Gongbo Zhou, Xin Shu, Hongwei Tang, and Hao Wu. "Gait Generation Method of Snake Robot Based on Main Characteristic Curve Fitting." Biomimetics 8, no. 1 (2023): 105. http://dx.doi.org/10.3390/biomimetics8010105.

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Gait generation method is one of the important contents of snake robot motion control. Different gait generation methods produce completely different forms of control functions, so snake robots need more complicated programming logic and processes to realize various gaits and their transformation. Therefore, we propose a new unified expression of gait method, The MCC (main characteristics control) method simplifies and unifies the control functions of different snake robots gaits by extracting the main features of the backbone curves of snake robots gaits. Since all periodic curves that meet t
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Su, Rung-Hung, Yeh-Liang Hsu, Lung Chan, Hanjun Lin, and Che-Chang Yang. "ASSESSING ABNORMAL GAITS OF PARKINSON'S DISEASE PATIENTS USING A WEARABLE MOTION DETECTOR." Biomedical Engineering: Applications, Basis and Communications 26, no. 02 (2014): 1450031. http://dx.doi.org/10.4015/s1016237214500318.

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Accelerometers have been widely used in wearable systems for gait analysis. Several gait cycle parameters are provided to quantify the level of gait regularity and symmetry. This study attempts to assess abnormal gaits of Parkinson disease (PD) patients based on the gait cycle parameters derived in real-time from an accelerometry-based wearable motion detector (WMD). The results of an experiment with 25 healthy young adults showed that there were significant differences between gait cycle parameters of normal gaits and abnormal gaits derived from the WMD. Five PD patients diagnosed as Hoehn an
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Shen, Zhe, Yudong Ma, and Takeshi Tsuchiya. "Four-Dimensional Gait Surfaces for a Tilt-Rotor—Two Color Map Theorem." Drones 6, no. 5 (2022): 103. http://dx.doi.org/10.3390/drones6050103.

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This article presents the four-dimensional surfaces that guide the gait plan for a tilt-rotor. The previous gaits analyzed in the tilt-rotor research are inspired by animals; no theoretical base backs the robustness of these gaits. This research deduces the gaits by diminishing the adverse effect of the attitude of the tilt-rotor for the first time. Four-dimensional gait surfaces are subsequently found on which the gaits are expected to be robust to the attitude. These surfaces provide the region where the gait is suggested to be planned. However, a discontinuous region may hinder the gait pla
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Fedotov, V. V. "Gait – Pathology or Physiology." Ukraïnsʹkij žurnal medicini, bìologìï ta sportu 3, no. 4 (2018): 124–27. http://dx.doi.org/10.26693/jmbs03.04.124.

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Hahn, Marilyn R. "Gait." Neurology Report 16, no. 1 (1992): 23–25. http://dx.doi.org/10.1097/01253086-199216010-00011.

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Dubin, Andrew. "Gait." Medical Clinics of North America 98, no. 2 (2014): 205–11. http://dx.doi.org/10.1016/j.mcna.2013.10.002.

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Dissertations / Theses on the topic "Gait"

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Mjaaland, Bendik Bjørklid. "Gait Mimicking : Attack Resistance Testing of Gait Authentication Systems." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8977.

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<p>Biometric technology is rapidly evolving in today's society. A large part of the technology has its roots hundreds, or even thousands of years back in time, while other parts are new and futuristic. Research suggest that individuals can be identified by the way they walk, and this kind of biometrics, gait biometrics, is a rather new and definitely intriguing field. However, the technology is far from mature; the performance is not generally competitive to other biometrics, and it has not been thoroughly tested security-wise. This thesis aims to test the security strength of gait biometrics.
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Sabir, Azhin Tahir. "Human gait recognition under neutral and non-neutral gait sequences." Thesis, University of Buckingham, 2015. http://bear.buckingham.ac.uk/115/.

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Rapid advances in biometrics technology makes their use for person‘s identity more acceptable in a variety of applications, especially in the areas of the interest in security and surveillance. The upsurge in terrorist attacks in the past few years has focused research on biometric systems that have the ability to identify individuals from a distance, and this is spearheading research interest in Gait biometric due to being unobtrusive and less dependent on high image/video quality. Gait biometric is a behavioral trait that aims to identify individuals from image sequences based on their walki
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Corr, Sandra A. "Avian gait analysis." Thesis, University of Glasgow, 1999. http://theses.gla.ac.uk/6629/.

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Two methods were used in this research. The pedobarograph is a relatively novel method of gait analysis for animals which enables footfall patterns to be recorded, enabling spatial parameters (step length, width and angle) and plantar pressure patterns to be described and measured. A Kistler force plate was then used to measure the three-dimensional ground reaction forces (GRF's) produced during walking. Speed and cadence can be calculated using either system. Gait patterns are described for normal birds, and for different strains of broilers, raised on different feeding regimes. All the gait
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Datta, Ankur. "Gait Based Recognition." Honors in the Major Thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/436.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf<br>Bachelors<br>Engineering and Computer Science<br>Computer Science
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Kagawa, Takahiro, and Yoji Uno. "Gait pattern generation for a power-assist device of paraplegic gait." IEEE, 2009. http://hdl.handle.net/2237/13886.

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Darbha, Naga Harika. "An Optimization Strategy for Hexapod Gait Transition." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1514915943875043.

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Ma, Weizen. "Instrumentation of Gait Analysis." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-28759.

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This master’s thesis project “Instrumentation of Gait Analysis” was carried out at and funded by Integrum AB, Gothenburg, Sweden. Force analysis is critical during rehabilitation process of amputation patients, since overloading might place the bone-implant interface at risk; while underloading might extend unnecessarily the already long rehabilitation program [1]. Highly developed sensor and data acquisition technology provides an easy and reliable way to do force analysis. This thesis introduces the problem and provides background material regarding Orthotics and Prosthetics, including osseo
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Sigurnjak, S. K. "Biometric verification using gait." Thesis, Manchester Metropolitan University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.592681.

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The work presented within this document details the development of a novel gait verification system suitable for a variety of applications such as human motion studies, medical analysis and security situations. The human gait is a spatio temporal process involving the coordination and interaction between the nervous, skeletal and muscular systems. Due to inherent variations in the limb lengths, muscle strengths and body mass gait is inherently individual. To develop a suitable feature extraction process a virtual gait laboratory was developed. The virtual laboratory contains virtual character
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Lee, Lily 1971. "Gait analysis for classification." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8116.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.<br>Includes bibliographical references (p. 121-124).<br>This thesis describes a representation of gait appearance for the purpose of person identification and classification. This gait representation is based on simple localized image features such as moments extracted from orthogonal view video silhouettes of human walking motion. A suite of time-integration methods, spanning a range of coarseness of time aggregation and modeling of feature distributions, are applied to these im
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Hong, Jie. "Human gait identification and analysis." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7115.

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Human gait identification has become an active area of research due to increased security requirements. Human gait identification is a potential new tool for identifying individuals beyond traditional methods. The emergence of motion capture techniques provided a chance of high accuracy in identification because completely recorded gait information can be recorded compared with security cameras. The aim of this research was to build a practical method of gait identification and investigate the individual characteristics of gait. For this purpose, a gait identification approach was proposed, id
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Books on the topic "Gait"

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Alberto, Esquenazi, ed. Gait analysis. Hanley & Belfus, 2002.

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Perry, Jacquelin, and Judith Burnfield. Gait Analysis. 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592.

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Bruckner, Jan. Gait workbook: A practical guide to clinical gait analysis. SLACK, Inc., 1998.

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Rancho Los Amigos Medical Center. Pathokinesiology Service. and Rancho Los Amigos Medical Center. Physical Therapy Dept., eds. Observational gait analysis. Los Amigos Research and Education Institute, Rancho Los Amigos Medical Center, 1993.

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Back, Willem. Equine locomotion. 2nd ed. Elsevier, 2013.

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Braune, Wilhelm, and Otto Fischer. The Human Gait. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-70326-3.

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L, Smidt Gary, ed. Gait in rehabilitation. Churchill Livingstone, 1990.

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Vaughan, C. L. Gait analysis laboratory. Human Kinetics Publishers, 1992.

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Adams, Janet, and Kay Cerny. Observational Gait Analysis. Routledge, 2024. http://dx.doi.org/10.4324/9781003525202.

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Bruckner, Jan. The gait workbook: A practical guide to clinical gait analysis. SLACK Inc., 1998.

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Book chapters on the topic "Gait"

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Gopinathan, Nirmal Raj, and Prateek Behera. "Gait." In Handbook of Clinical Examination in Orthopedics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1235-9_13.

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Phillips, Raymond E. "Gait." In The Physical Exam. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63847-8_26.

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Lemelin, Pierre, and Daniel Schmitt. "Gait." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-47829-6_1458-1.

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Lemelin, Pierre, and Daniel Schmitt. "Gait." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1458.

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Perry, Jacquelin, and Judith M. Burnfield. "Gait Cycle." In Gait Analysis, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-2.

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Waters, Robert. "Energy Expenditure." In Gait Analysis, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-30.

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Pink, Marilyn M. "Running." In Gait Analysis, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-23.

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Perry, Jacquelin, and Judith M. Burnfield. "Knee." In Gait Analysis, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-7.

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Perry, Jacquelin, and Judith M. Burnfield. "Stair Negotiation." In Gait Analysis, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-22.

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Perry, Jacquelin, and Judith M. Burnfield. "Gait Analysis Systems." In Gait Analysis, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-25.

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Conference papers on the topic "Gait"

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Naz, Neelma, Saim Rasheed, Sara Ali, and Hasan Sajid. "E-Gait: enhanced efficient graph convolution network for gait recognition." In Seventeenth International Conference on Machine Vision (ICMV 2024), edited by Wolfgang Osten. SPIE, 2025. https://doi.org/10.1117/12.3055057.

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Jha, Chandni, Shubham K. Jha, Oishila Bandyopadhyay, and Dalia Nandi. "Realtime Gait Phase Prediction and Early Detection of Gait Abnormalities." In 2024 4th International Conference on Computer, Communication, Control & Information Technology (C3IT). IEEE, 2024. https://doi.org/10.1109/c3it60531.2024.10829427.

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Liu, Yuxin, Jinyan Chen, Zheyan Gao, and Shitian Li. "CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650831.

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Banka, Asif Ali, and Ajaz Hussain Mir. "Human Gait and Gait Databases." In International Conference on Computer Applications — Database Systems. Research Publishing Services, 2010. http://dx.doi.org/10.3850/978-981-08-7300-4_1503.

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Arora, Parul, and Smriti Srivastava. "Gait recognition using gait Gaussian image." In 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2015. http://dx.doi.org/10.1109/spin.2015.7095388.

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Seo, Kap-Ho, Yongsik Park, Sungjo Yun, Sungho Park, Jungsoo Jun, and Kwang-Woo Jeon. "Gait pattern generation for gait rehabilitation." In 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2013. http://dx.doi.org/10.1109/urai.2013.6677388.

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Bashir, K., Tao Xiang, and Shaogang Gong. "Gait recognition using gait entropy image." In 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009). IET, 2009. http://dx.doi.org/10.1049/ic.2009.0230.

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Babaee, Maryam, Linwei Li, and Gerhard Rigoll. "Gait Recognition from Incomplete Gait Cycle." In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451785.

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Cotton, R. James, Emoonah McClerklin, Anthony Cimorelli, Ankit Patel, and Tasos Karakostas. "Transforming Gait: Video-Based Spatiotemporal Gait Analysis." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871036.

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Shuckra, Amy, and Bruce MacWilliams. "Gait analysis utility in functional gait disorder." In 27th Annual Meeting of the GCMAS. GCMAS, 2022. http://dx.doi.org/10.52141/gcmas2022_64.

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Reports on the topic "Gait"

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Brown, Ashleigh. Gait. Brooke, 2020. http://dx.doi.org/10.46746/gaw.2020.abi.gait.

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Koch, Mark William. Recognition using gait. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/922087.

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Vaughan, Phillip, Golnar Nabizadeh, Laura Findlay, Heather Doran, Niamh Nic Daeid, and Mark Brown. Understanding Forensic Gait Analysis #1. Edited by Chris Murray. University of Dundee, 2020. http://dx.doi.org/10.20933/100001152.

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Weyand, Peter. Gait Dynamics and Locomotor Metabolism. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada612318.

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Abdel-Malek, Karim. Advanced Prosthetic Gait Training Tool. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada602320.

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Weyand, Peter. Gait Dynamics and Locomotor Metabolism. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada618434.

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Abdel-Malek, Karim, Rajan Bhatt, Salam Rahmatalla, and John Yack. Advanced Prosthetic Gait Training Tool. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada621304.

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Weyand, Peter. Gait Dynamics and Locomotor Metabolism. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada624102.

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Qian, Guoping, Xiaoye Cai, Kai Xu, et al. Which Gait Training Intervention Can Most Effectively Improve Gait Ability in Patients with Cerebral Palsy? A Systematic Review and Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.10.0108.

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Review question / Objective: To help physiotherapists and clinicians make clinical decisions, they may wish to know, on average, "the optimal treatment", so a comprehensive and up-to-date systematic review should be conducted on the relative effectiveness of gait ability intervention programmes in patients with CP. Using NMA, this study aimed to evaluate and compare the effects of different approaches of gait training on gait ability in CP patients. The specific aim of this study was to verify the relative effectiveness of different gait interventions on the gait ability of people with CP. Con
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Nixon, Mark S., and John N. Carter. Automatic Gait Recognition for Human ID at a Distance. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada457973.

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