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AI Rehabilitation System Turns Noisy Pose Data into Reliable Movement Metrics

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A team developed Mendly, an AI-powered stroke rehabilitation platform, during the HopHacks hackathon. The project placed among the top 11 finalists out of 87 entries and won the Best Use of DigitalOcean award. The system uses MediaPipe Pose to track a patient's joint positions and calculate movement angles for rehabilitation exercises. A key challenge was converting imperfect camera data into trustworthy metrics by implementing reliability checks for occlusions or tracking failures. The team established that failed pose detection results in an 'invalid observation' rather than incorrect assumed values to ensure data integrity for adaptive AI planning.

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AI Rehabilitation System Turns Noisy Pose Data into Reliable Movement Metrics · ShortSingh