Towards quantifying Taiji Qigong: development of a feedback system

Engineering of Sport 15 - Proceedings from the 15th International Conference on the Engineering of Sport (ISEA 2024)

The rapid digitalization in various domains has yet to leave sports untouched, where technology has been employed for automated event recognition and assessment. However, in the consumer realm, trainees rely on human observation and coaching, whereby incorrect exercise execution poses injury risks and diminishes exercise effectiveness. This research explores the capturable parameters of the developed Taiji Qigong (Qi) motioncapturing (MoCap) system (cf. “Development of a motion capture system to quantify Taji Qigong exercises”) with respect to possible feedback (FB) parameters. Thereby machine learning's potential for classifying movements and viable sensor options are investigated, along with the needs of Qi beginners (B) and masters (M) using qualitative interviews. A series of studies (S1-5) provide valuable insights into assessing Qi and offering personalized FB to B and evaluating M.