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DC Field | Value | Language |
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dc.contributor.author | Xu, Jingzhi | en_US |
dc.date.accessioned | 2020-11-24T06:20:09Z | - |
dc.date.available | 2020-11-24T06:20:09Z | - |
dc.date.issued | 2020 | en_US |
dc.identifier.other | 2020eexj336 | en_US |
dc.identifier.uri | http://dspace.cityu.edu.hk/handle/2031/9356 | - |
dc.description.abstract | According to van Gent, R et al [1], there is an average sixty percent of athletes suffering from injuries during the running process. For amateur runners, this number goes to eighty percent. It is rather vital to assist those patients with gait rehabilitation or training to prevent deterioration or recrudescence. What’s more, gait patterns could also be a significant sign of certain potential injuries, for example, the runner’s knee. The above two applications (gait rehabilitation and gait recognition) are based on measuring body movements during the walking or running process. Clinical or experimental data of body joints could be applied to calculate corresponding spatiotemporal features and reconstruct gait patterns for detecting potential harms during further running or walking process. However, most current gait analysis technology is related to infrared cameras, floor-mounted force platforms, or camera systems working with markers locating the joint position. Hence, it is a powerful tool to collect pose related data through a single monocular RGB camera. In this project, a computer-vision based gait analysis approach is applied to calculate various gait parameters to develop rehabilitation strategies for patients and to help prevent potential injuries for runners during the future running process. | en_US |
dc.rights | This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner. | en_US |
dc.rights | Access is restricted to CityU users. | en_US |
dc.title | Computer Vision-based Human Gait Analysis | en_US |
dc.contributor.department | Department of Electrical Engineering | en_US |
dc.description.supervisor | Supervisor: Dr. Chan, Rosa H M; Assessor: Dr. Sun, Yanni | en_US |
Appears in Collections: | Electrical Engineering - Undergraduate Final Year Projects |
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