This is the first comprehensive survey of LiDAR in rehabilitation, summarizing applications, AI techniques, trends, gaps, and future directions across studies from 2019-2025.
Human- m3: A multi-view multi-modal dataset for 3d human pose estimation in outdoor scenes
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MAEM is a training-free framework that combines monocular 3D mesh recovery with a two-stage epipolar matching strategy using disjoint-set-union clustering and per-joint triangulation for multi-view multi-person 3D pose estimation in basketball.
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LiDAR for Rehabilitation: A Comprehensive Survey of Applications, AI Techniques, and Future Directions
This is the first comprehensive survey of LiDAR in rehabilitation, summarizing applications, AI techniques, trends, gaps, and future directions across studies from 2019-2025.