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...
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my.unimas.ir.293782021-12-04T03:03:40Z http://ir.unimas.my/id/eprint/29378/ Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region John, Faustine Irwandi Hipni, Mohamad Hipiny Hamimah, Ujir QA75 Electronic computers. Computer science 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. 2020-03-16 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/29378/1/John.pdf John, Faustine and Irwandi Hipni, Mohamad Hipiny and Hamimah, Ujir (2020) Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region. In: 2019 International Conference on Computer and Drone Applications (IConDA), 19-21 Dec 2019, Kota Samarahan. https://ieeexplore.ieee.org/document/9034912 |
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QA75 Electronic computers. Computer science John, Faustine Irwandi Hipni, Mohamad Hipiny Hamimah, Ujir Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region |
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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. |
format |
Proceeding |
author |
John, Faustine Irwandi Hipni, Mohamad Hipiny Hamimah, Ujir |
author_facet |
John, Faustine Irwandi Hipni, Mohamad Hipiny Hamimah, Ujir |
author_sort |
John, Faustine |
title |
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region |
title_short |
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region |
title_full |
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region |
title_fullStr |
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region |
title_full_unstemmed |
Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region |
title_sort |
assessing performance of aerobic routines using background subtraction and intersected image region |
publishDate |
2020 |
url |
http://ir.unimas.my/id/eprint/29378/1/John.pdf http://ir.unimas.my/id/eprint/29378/ https://ieeexplore.ieee.org/document/9034912 |
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1718930104579522560 |
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13.211869 |