The Effectiveness of Tai chi Training: An Analysis Using Motion Capture
2024 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Tai chi is an ancient martial art that was originally created as a self-defence system. In recent times it has been recognised for its health benefits both physiologically and physically. Systematic reviews of Tai chi have been published regarding over 25 different conditions. The areas of research ranges from fall prevention to conditions such as osteoarthritis to name a few.
To better understand the correlation between Tai chi and these conditions. Far more research is being required. In order determine that the training of Tai chi is what has brought these positively reported health benefits, it is first crucial to find a way to examine if a subject learned Tai chi.
A subject with no prior experience to Tai chi was examined in this study. The first acquisition of the movement was taken without any prior practice of Tai chi. The movement in question is called Chan si gong and is a fundamental move within the discipline of Tai chi. After 1 month of practice another acquisition was taken using the same metrics. The data from both acquisitions were analysed in Open sim by using a model scaled to fit the dimensions of the real subject. Phase portraits were then plotted and analysed using dynamical systems theory. The results showed that even after only 8 sessions, the coordination of the movement improved. In-phase attractors were eliminated between the phase of pelvis and upper body rotation, causing a more fluid and connected motion. The coordination between the legs of the subject also improved as the timing between the flexion and extension of the legs got more synced. However, there were still room for improvement as the right leg bent more even in the second acquisition. The result provided valuable insight on the learning of a movement. For the future more extended studies should be made, with a well thought out protocol.
Place, publisher, year, edition, pages
2024. , p. 54
Keywords [en]
Tai chi, benefits, motion capture, dynamic systems theory, coordination, motion capture, Open sim.
National Category
Medical Laboratory Technologies
Identifiers
URN: urn:nbn:se:uu:diva-538901ISRN: UTH-INGUTB-EX-MTI-2024/015-SEOAI: oai:DiVA.org:uu-538901DiVA, id: diva2:1899994
Educational program
Bachelor's Programme in Biomedical Engineering
Presentation
2024-08-27, Uppsala, 10:00
Supervisors
Examiners
2024-09-232024-09-212025-02-09Bibliographically approved