Abstract
In recent years, the trend of exercise has risen rapidly. Weight training for sculpting body shapes is viewed as a particular trend, but incorrect weight training postures or forms can not only nullify the benefits of exercise, but also cause permanent damage to the bodies. Therefore, weight trainees usually hire a coach or an athletic trainer for guidance. However, the cost of hiring a trainer is high and may be prohibitive in the long term. In this study, the OpenPose system and inexpensive webcams are used to develop the WTPose algorithm that can determine whether a weight trainee's posture is correct in real time. When there is deviation in the weight trainee's posture, the algorithm will immediately display the correct posture, thereby helping the weight trainee to correct her/his weight training posture by merely spending a small fee. As proven through experiments, regardless of the user's body shape and gender, the WTPose algorithm can accurately determine whether her/his weight training posture is correct.
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Acknowledgements
This work was supported by the Ministry of Science and Technology of Taiwan under Grant 106-2221-E-025-012, 107-2221-E-025-008, and 107-2813-C-025-037-E. In addition, we would like to express our thanks to Y.-C. Wang, W.-T. Fu, Y.-S. Chen, and B.-Y. Lin for help with analysis.
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Lin, CY., Jian, KC. A real-time algorithm for weight training detection and correction. Soft Comput 26, 4727–4739 (2022). https://doi.org/10.1007/s00500-022-06905-3
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DOI: https://doi.org/10.1007/s00500-022-06905-3