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Ego2HandsPose
Ego2HandsPose是一个专为单目RGB相机在非实验室环境下进行双人手3D全局姿态估计而设计的大型数据集。该数据集由杨百翰大学的研究团队创建，旨在解决现有数据集在视觉多样性和环境适应性方面的不足。数据集通过一种基于合成的数据生成技术，创建了具有高质量、数量和多样性的双人手实例，这些实例能够很好地泛化到未见过的领域。Ego2HandsPose不仅支持双人手分割和检测，还首次实现了在未知环境中的
arXiv2022-06-10 更新690
A high-resolution and whole-body dataset of hand-object contact areas based on 3D scanning method
Hand contact data, reflecting the intricate behaviours of human hands during object operation, exhibits significant potential for analysing hand operation patterns to guide the design of hand-relate
DataCite Commons2026-01-28 更新150
WhichFingers: Identifying Fingers on Touch Surfaces and Keyboards using Vibration Sensors (Experimental data)
Experimental data associated with the project and paper WhichFingers. https://dx.doi.org/10.1145/3126594.3126619 http://ns.inria.fr/mjolnir/whichfingers/
DataCite Commons2025-05-03 更新100
