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A System for Evaluating the Correctness of Physical Exercises Execution

As many people work from home, the effects of a sedentary lifestyle are more prominent and there is need to promote and support at-home workout sessions. In this paper we present an instrument that can partially replace the supervision of a professional coach by evaluating the correctness of physical exercises. Our objective was to use a smart phone as a sensor to monitor the physical activity of the user and machine learning techniques to classify the type of movement and to assess the execution of the workout session. The experiments show good results despite using data collected from just one set of sensors.