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

• Main Authors: John, Faustine, Irwandi Hipni, Mohamad Hipiny, Hamimah, Ujir
• Format: Proceeding
• Language: English
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/29378/1/John.pdf; http://ir.unimas.my/id/eprint/29378/; https://ieeexplore.ieee.org/document/9034912

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.