Andrea Valerio
Development of Machine Learning-Based Algorithms for Assessing Tai Chi Exercise Proficiency in Older Adults.
Rel. Danilo Demarchi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2020
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Abstract
Development of Machine Learning-Based Algorithms for Assessing Tai Chi Exercise Proficiency in Older Adults In the past decade Tai Chi health benefits such as preventing fall risk, fighting social isolation, depression and improving cognitive capacity in older adults were widely investigated in order to give to physicians the possibility to give evidence-based recommendations to their patients regarding its use in rehabilitation purposes. The goal of the project is to develop a wearable system in order to generate meaningful feedback, to improve exercise performance and continuously monitor safety in individuals participating in a home-based program. This study, in particular, will focus on developing a machine learning algorithm to assess exercise proficiency in individuals performing Tai Chi.
To do that thirty two Tai Chi practitioners were enrolled and they were asked to take part in data collection sessions in which, first, their physical eligibility had to be evaluated through a quantitative assessment tool known as BESTest and, finally, they were asked to perform different Tai Chi exercises
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