Akademik Veri Yönetim Sistemi
ADVANCES IN NEURAL NETWORKS: COMPUTATIONAL AND THEORETICAL ISSUES, cilt.37, ss.243-251, 2015 (SCI-Expanded)
Exergames provide efficient and motivating training mechanisms to support physical rehabilitation at home. Nonetheless, current exergame examples lack some important aspects which cannot be disregarded in rehabilitation. Exergames should: (i) modify the game difficulty adapting to patient's gameplay performance, (ii) monitor if the exercise is correctly executed, and (iii) provide continuous motivation. In this study, we present a game engine which implements computer intelligence-based solutions to provide real-time adaptation, on-line monitoring and an engaging gameplay experience. The game engine applies real-time adaptation using the Quest Bayesian approach to modify the game difficulty according to the patient's performance. Besides, it employs a fuzzy system to monitor the execution of the exercises according to the parameters set by the therapists and provides on-line feedback to guide the patient during the execution of the exercise. Finally, a motivating game experience is provided using rewards and adding random enrichments during the game.