BadmintonGRF is a new public multimodal dataset and benchmark that pairs multi-view video with instrumented GRF for markerless load estimation in badminton.
Bradshaw, Daniel T
2 Pith papers cite this work. Polarity classification is still indexing.
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Phase-separated CHPCA on single-subject hammer-strike pose data reveals a trunk-anchored global phase architecture with clear asymmetry between backswing and downswing phases.
citing papers explorer
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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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Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface
Phase-separated CHPCA on single-subject hammer-strike pose data reveals a trunk-anchored global phase architecture with clear asymmetry between backswing and downswing phases.