A Multi-Agent System Approach for Balance Disorder Treatment: Integrating Computer Vision and Gamification

This study introduces a pioneering approach for treating balance disorders, integrating advanced computer vision and engaging gamification techniques within a multi-agent system framework. Balancing disorders significantly impair quality of life, manifesting through symptoms like dizziness and muscle weakness. Addressing this, we developed a platform that employs depth imaging and real-time pose estimation to accurately capture and analyze patient movements, enabling personalized and adaptive rehabilitation exercises. The multi-agent system architecture ensures seamless communication and coordination, facilitating the delivery of tailored exercises that cater to the evolving needs of patients, either in person or remotely. Key to our approach is the use of gamification, which transforms rehabilitation exercises into interactive virtual activities, significantly enhancing patient engagement and motivation. Preliminary results demonstrate the platform's efficacy in improving balance, highlighting its potential as a versatile tool for balance disorder treatment. This research advances the technological frontier in balance disorder rehabilitation and offers a blueprint for future telehealth and patient-centric care innovations.