Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region
It is recommended for a novice person to engage trained personnel before starting an unfamiliar aerobic or weight routine to gain real-time expert feedbacks. This greatly reduces the risk of injury and maximise physical gains. We present a simple image similarity measure based on intersected image r...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Proceeding |
| اللغة: | English |
| منشور في: |
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://ir.unimas.my/id/eprint/29378/1/John.pdf http://ir.unimas.my/id/eprint/29378/ https://ieeexplore.ieee.org/document/9034912 |
| الوسوم: |
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| الملخص: | It is recommended for a novice person to engage trained personnel before starting an unfamiliar aerobic or weight routine to gain real-time expert feedbacks. This greatly reduces the risk of injury and maximise physical gains. We present a simple image similarity measure based on intersected image region to assess a subject's performance of an aerobic routine. The method was implemented inside an Augmented Reality (AR) desktop app that employed a single RGB camera to capture still images of the subject as he or she progressed through the routine. The background-subtracted body pose image was compared against the exemplar image (i.e., AR template) at specific intervals. Based on a limited dataset, our pose matching function managed an accuracy of 93.67. |
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