In the last few years, telerehabilitation and telecare have become important topics in\nhealthcare since they enable people to remain independent in their own homes by providing\nperson-centered technologies to support the individual. These technologies allows elderly people to\nbe assisted in their home, instead of traveling to a clinic, providing them wellbeing and personalized\nhealth care. The literature shows a great number of interesting proposals to address telerehabilitation\nand telecare scenarios, which may be mainly categorized into two broad groups, namely wearable\ndevices and context-aware systems. However, we believe that these apparently different scenarios\nmay be addressed by a single context-aware approach, concretely a vision-based system that can\noperate automatically in a non-intrusive way for the elderly, and this is the goal of this paper.\nWe present a general approach based on 3D cameras and neural network algorithms that offers\nan efficient solution for two different scenarios of telerehabilitation and telecare for elderly people.\nOur empirical analysis reveals the effectiveness and accuracy of the algorithms presented in our\napproach and provides more than promising results when the neural network parameters are\nproperly adjusted.
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