University of Michigan researchers have developed an AI-powered system that enables effective balance training at home without clinical supervision. The technology uses computer vision and machine learning to monitor users’ movements during balance exercises, providing real-time feedback and guidance through a standard camera setup. The system can detect improper form, track progress over time, and adjust difficulty levels based on individual performance. This approach could help older adults and patients recovering from injuries maintain balance skills and reduce fall risk without frequent clinic visits. For eye care professionals, this technology is relevant when managing patients with vestibular issues or those whose vision problems affect balance and spatial awareness. Home-based AI monitoring could extend rehabilitation support beyond the clinic while maintaining quality oversight of patient progress.
AI Supports Home-Based Balance Training
12/10/2025