Towards a Smart System for Rehabilitation: TANGO-H Recommender System

Abstract

The main objective of this work was to build an intelligent system for user rehabilitation. The system comprehends a platform with an exercise player and a designer tool. The intelligent platform analyzes the user interactions with it at every time along with the user record evolution to recommend new activities to the user. The main contributions of this work are, firstly, the definition of a recommender system based on different difficulty levels and user skills. The recommender system therefore has the function of providing the user a personalized game mode based on his own records and preferences. Secondly, a gamified system has been developed in the platform to increase the motivation of users and to prevent them from abandoning. Lastly, a twofold validation of the built system has been performed, with a group of experts in the first place and in a real intervention with children afterwards.