Abstract
A lack of exercise and physical activity is one of the main health-risk behaviors, causing chronic diseases. This paper proposes a computerized system for monitoring exercise performance and e-coaching. The aim of the system is to increase users’ physical activity and fitness levels, improve the effectiveness of exercise-based rehabilitation and training, and subsequently motivate people to become more active. Capable of acquiring and fusing motion capture data from different modalities (Kinect and IMUs), depending on the physical exercise intricacy to be captured and evaluated, the proposed system performs real-time anthropometric measurements and analysis. The main challenges of physical exercise performance monitoring are also addressed. Lying-down physical exercises or exercises with caregiver or trainer support can be captured, monitored and evaluated. Exercise repetition detection and evaluation, and e-coaching of the subjects through comprehensive semantic feedback are performed in real-time.
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Acknowledgements
The authors were supported by the EU Horizon 2020 Framework Programme, for Research and Innovation Action under Grant Agreement no. 643491, ‘PATHway H2020’.
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Chatzitofis, A., Zarpalas, D., Daras, P. (2018). A Computerized System for Real-Time Exercise Performance Monitoring and e-Coaching Using Motion Capture Data. In: Maglaveras, N., Chouvarda, I., de Carvalho, P. (eds) Precision Medicine Powered by pHealth and Connected Health. ICBHI 2017. IFMBE Proceedings, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-10-7419-6_40
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DOI: https://doi.org/10.1007/978-981-10-7419-6_40
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