A Computer-Assisted System with Kinect Sensors and Wristband Heart Rate Monitors for Group Classes of Exercise-Based Rehabilitation
Exercise-based rehabilitation for chronic conditions such as cardiovascular disease, diabetes, and chronic obstructive pulmonary disease, constitutes a key element in reducing patient symptoms and improving health status and quality of life. However, group exercise in rehabilitation programmes faces several challenges imposed by the diversified needs of their participants. In this direction, we propose a novel computer-assisted system enhanced with sensors such as Kinect cameras and wristband heart rate monitors, aiming to support the trainer in adapting the exercise programme on-the-fly, according to identified requirements. The proposed system design facilitates maximal tailoring of the exercise programme towards the most beneficial and enjoyable execution of exercises for patient groups. This work contributes in the design of the next-generation of computerised systems in exercise-based rehabilitation.
KeywordsExercise Rehabilitation Computer-assisted systems Sensors Kinect
Author AT was supported by the “IKY fellowships of excellence for postgraduate studies in Greece—SIEMENS program”. Authors DF, JC, RB, VC, AC, DZ, PD, IC, and NM were supported by the European Union’s Horizon 2020 Framework Programme for Research and Innovation Action under Grant Agreement no. 643491, ‘PATHway: Technology enabled behavioural change as a pathway towards better self-management of CVD’.
Conflict of Interest
The authors declare that they have no conflict of interest.
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