Modeling the constraints of human hand motion

By John Y. Lin, Ying Wu, Thomas S. Huang. Proceedings Workshop on Human Motion, 2000

358 citations recorded by the source corpus.

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Vision-based hand pose estimation: A review (2007, methodology): “Moreover, the natural motion of the hand may follow more subtle constraints which have nothing to do with structural limitations [50].”
Learning Joint Reconstruction of Hands and Manipulated Objects (2019, neutral): “Hand pose lives in a low-dimensional subspace [23, 50].”
Resistive flex sensors: a survey (2015, methodology): “The most commonly adopted kinematic hand model considers 27 DOFs for the hand [140].”
Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data (2013, methodology): “The first study of size of the motion space of hand articulations when using kinematic skeletons was done by Lin et al. [11] [28] .”
A Procedure for Developing Intuitive and Ergonomic Gesture Interfaces for HCI (2003, background): “In this section the biomechanics in the hand [14][15] is briefly described.”
3D Hand Shape and Pose Estimation From a Single RGB Image (2019, background): “methods. 1. Introduction Vision-based 3D hand analysis is a very important topic because it has many applications in virtual reality (VR) and augmented reality (AR). However, despite years of studies [40, 27, 57, 58, 47, 45, 12, 26], it remains an open problem due to the diversity and complexity of ”