Assessing Performance of Aerobic Routines using Background Subtraction and Intersected Image Region

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.

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Abstract

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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