A video-based system for plantar surface acquisition during gait
Paper
Paper/Presentation Title | A video-based system for plantar surface acquisition during gait |
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Presentation Type | Paper |
Authors | Chong, Albert K. (Author), Alshadli, Duaa (Author), AL-Baghdadi, Jasim Ahmed Ali (Author), Milburn, Peter (Author) and Newsham-West, Richard (Author) |
Editors | Toby, Hung |
Journal or Proceedings Title | Proceedings of the 31st International Conference on Biomechanics in Sports (ISBS 2013) |
ERA Conference ID | 60217 |
Number of Pages | 4 |
Year | 2013 |
Place of Publication | Taipei, Taiwan |
Web Address (URL) of Paper | https://ojs.ub.uni-konstanz.de/cpa/article/view/5575/5069 |
Conference/Event | 31st International Conference on Biomechanics in Sports (ISBS 2013) |
Conference of the International Society of Biomechanics in Sports | |
Event Details | 31st International Conference on Biomechanics in Sports (ISBS 2013) Parent International Conference on Biomechanics in Sports Event Date 07 to end of 11 Jul 2013 Event Location Taipei, Taiwan |
Event Details | Conference of the International Society of Biomechanics in Sports |
Abstract | Video-based systems for digital object surface feature acquisition are commonly used to provide non-contact accurate 3D mapping of objects in motion. A review of the literature shows that these systems are extensively exploited in human movement studies. The shape of the human foot plantar surface during gait can be better studied using 3D surface models and contours. Additionally, surface contact characteristics and peak pressure of the plantar surface can be determined readily using the calculated 3D models. In this article, the processing algorithms, image capture and point cloud creating methods are discussed. Further discussion includes the findings of an investigation into the stance phase of gait and the plantar-substrate contact location. Tests show that the developed video-based 3D surface capture techniques are accurate and reliable. |
Keywords | 3D surface; human foot; contour; point cloud; video; pathologic gait |
ANZSRC Field of Research 2020 | 400303. Biomechanical engineering |
460103. Applications in life sciences | |
460306. Image processing | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | School of Civil Engineering and Surveying |
Technical College of Baghdad, Iraq | |
Griffith University | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q25y4/a-video-based-system-for-plantar-surface-acquisition-during-gait
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Chong_Alshadli_AL-Baghdadi_Milburn_Newsham-West_ICBS_2013_PV.pdf | ||
File access level: Anyone |
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