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Artificial Intelligence in Wearables – Challenges and Opportunities in Physical Therapy and Sports Training

Joanna Sorysz
In: Proceedings of the Third International Conference on Hybrid Human-Artificial Intelligence. International Conference on Hybrid Human-Artificial Intelligence (HHAI-2024), HHAI 2024: Hybrid Human AI Systems for the Social Good, June 10-14, Malmö, Sweden, Pages 427-433, Vol. 386, ISBN 978-1-64368-522-9, IOS Press, 6/2024.


Adherence to procedures and rules is essential in order to obtain the best results in medicine and sports. However, traditional clinical setups can induce stress in patients, hindering recovery. Meanwhile, advancements in activity recognition and monitoring technology have revolutionised the sports industry, yet systems suggesting exercises for performance improvement are sparse. At the same time, children training supervision is lacking comprehensive research altogether. In my research, I propose a project that aims to unify wearables solutions in physical therapy, sport training and children development. The key aspects of the research include the exploration of sensor modality fusion in order to obtain better results, body motion tracking, and physiological parameters recording. Planned experiments will focus on joint and torso movement mapping, integration with vital signs in order to perform real-life evaluations in cooperation with athletes, patients, coaches, and therapists.


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