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Design of a kinematic and emotional assessment module for the tele-rehabilitation platform

Abstract:

Tele-rehabilitation is becoming extremely popular in the health scenario. Although this new medical approach has several advantages over traditional therapy, it is important to identify its limitations and risks in the recovery process. This study focuses on the modeling and implementation of a module to assess in real time the quality of movement and the emotional state of patients when they execute the rehabilitation exercises provided by a web-based platform. An algorithm based on dynamic time warping is proposed and tested to assess the movement kinematic. Furthermore, pain is discriminated through a support vector machine classifier. Both methods allow a high identification of gestures and emotions, respectively. These results are discussed in terms of the most suitable solutions to develop an efficient telerehabilitation system.