Abstract
The Microsoft Kinect RGB-D sensor has been proven to be a reliable tool for gait analysis and rehabilitation purposes. Although it is accurate for detecting upper body part movements, even the second iteration of the Kinect sensor lacks the accuracy when it comes to lower extremities. while detecting foot-off and foot contact phases of a gait cycle is an important part of a gait performance analysis, The Kinect's intrinsic inaccuracies make it an unreliable tool to detect them accurately. We propose a new Kinect based technique for detecting foot-off and foot contact phases in a gait cycle that solely relies on a subject's knee joint relative angle. The system was tested on 11 healthy subjects walking in pre-defined pathways in 12 walking sessions while the Kinect v2 camera was placed at different heights ranging from 0.65 to 1.57 and angles ranging from 0 to 45 degrees to the ground. The algorithm's accuracy was also compared to another footstep detection method based on the subject's ankle joints height to the ground. The results showed 86.52% accuracy in detecting foot-off and foot contact events on average for both feet.
Original language | English |
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Title of host publication | Proceedings of 2017 IEEE EMBS International Conference on Biomedical and Health Informatics |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 153-156 |
Number of pages | 4 |
ISBN (Electronic) | 9781509041794 |
DOIs | |
Publication status | Published - 13 Apr 2017 |
Event | 4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 - Orlando, United States Duration: 16 Feb 2017 → 19 Feb 2017 https://ieeexplore.ieee.org/xpl/conhome/7890912/proceeding (Link to conference website) |
Conference
Conference | 4th IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 |
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Abbreviated title | IEE EMBS BHI 2017 |
Country/Territory | United States |
City | Orlando |
Period | 16/02/17 → 19/02/17 |
Internet address |
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ASJC Scopus subject areas
- Health Informatics
- Computer Science Applications
- Biomedical Engineering