The presentation covers research project on Biological Feedback Measurement and Analysis Technologies in rehabilitation. It focuses on how our team integrates virtual reality, deep learning, video tracking, and multimodal monitoring to improve mobility recovery. My work specifically involves human pose estimation using 3D posture analysis and synchronized video streams to enhance skeleton tracking accuracy. It can be divided to two parts: algorithms for precise measurement using a multi-camera setup in a hospital environment, and a mobile application that leverages selfie cameras and uncalibrated setups for progress monitoring in less controlled settings with a focus on depersonalized feedback.
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