English(EN) BadmintonGRF: A Multimodal Dataset and Benchmark for Markerless Ground Reaction Force Estimation in Badminton

BadmintonGRF数据集实现无标记地面反作用力估计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-05 04:00

研究人员推出了BadmintonGRF，这是一个新的多模态数据集，旨在无需标记即可估计羽毛球中的地面反作用力。该数据集将同步的多视角视频与力台和运动捕捉系统的数据配对。它包括一个将2D姿态映射到GRF的基准任务，以及预处理代码和基线模型，以促进该领域的研究。 AI

影响提供了一个用于无标记地面反作用力估计的新数据集和基准，有望推动运动生物力学和人工智能驱动的性能分析方面的研究。

排序理由这是一篇描述新数据集和特定科学任务基准的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.CV TIER_1 English(EN) · Kuoye Niu, Jianwei Li, Shengze Cai, Yong Ma, Mengyao Jia, Lishun Shen, Zhenheng Zhang, Yuxin Peng, Xian Song · 2026-05-05 04:00

BadmintonGRF：羽毛球无标记地面反作用力估计的多模态数据集和基准

arXiv:2605.01876v1 Announce Type: new Abstract: Multimodal resources for non-periodic court sports with laboratory-grade sensing remain scarce: few publicly pair instrumented ground reaction force (GRF) with high-frame-rate multi-view video, limiting markerless load estimation in…