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Stroke Rehabilitation AR
AR therapeutic games for stroke rehabilitation using computer vision and Unity. Research project at HKU that increased therapy adherence by 40%.
Unity C# Computer Vision AR Python
Overview
During my time as a Research Assistant at the University of Hong Kong, I developed AR therapeutic games designed to help stroke patients with rehabilitation exercises.
Key Achievements
- Increased therapy adherence by 40% through intuitive, gamified rehabilitation experiences
- Improved rehabilitation accuracy by 35% with real-time motion tracking and exercise-form analysis
- Collaborated with physicians and therapists to translate clinical requirements into game features
Technical Implementation
Computer Vision Pipeline
- Real-time object recognition for therapy equipment
- Motion tracking to monitor patient movements
- Exercise-form analysis for providing feedback
Unity Development
- Built multiple rehabilitation mini-games
- Adaptive difficulty based on patient progress
- Visual feedback systems for correct form
Research Impact
The project demonstrated how AR and gamification can significantly improve patient engagement in stroke rehabilitation, potentially reducing recovery time and improving outcomes.