The paper presents AIGaitor, a privacy-preserving on-device monocular motion analysis system that performs end-to-end pose estimation and deep learning gait analysis on consumer smartphones.
OpenCap: Human movement dynamics from smartphone videos
3 Pith papers cite this work. Polarity classification is still indexing.
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BadmintonGRF is a new public multimodal dataset and benchmark that pairs multi-view video with instrumented GRF for markerless load estimation in badminton.
SmoCap performs unified scale-pose canonicalization for motion capture by solving constrained trust-region QPs with analytical proxy-mapped Jacobians in a sparse control subspace.
citing papers explorer
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AIGaitor: Privacy-preserving and cloud-free motion analysis for everyone, using edge computing
The paper presents AIGaitor, a privacy-preserving on-device monocular motion analysis system that performs end-to-end pose estimation and deep learning gait analysis on consumer smartphones.
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BadmintonGRF: A Multimodal Dataset and Benchmark for Markerless Ground Reaction Force Estimation in Badminton
BadmintonGRF is a new public multimodal dataset and benchmark that pairs multi-view video with instrumented GRF for markerless load estimation in badminton.
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SmoCap: Unified Scale-Pose Canonicalization with Proxy-Mapped Trust-Region QP
SmoCap performs unified scale-pose canonicalization for motion capture by solving constrained trust-region QPs with analytical proxy-mapped Jacobians in a sparse control subspace.