3DRing: Enabling Low-Cost 3D Hand Position Tracking by Fusing Inertial and Low-Framerate Optical Sensing

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems 2026 Open access

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Authors: Zhuojun Li, Lubin Wang, Chun Wing Yu, Chang Liu, Mingyuan Du, Weinan Shi, Yuanchun Shi
DOI: 10.1145/3772318.3791028
Cited by: 1
References: 59

Abstract

Current mobile hand tracking systems primarily rely on high-framerate (HFR) optical sensors to capture hand positions, resulting in high computational cost and limiting the applicability in end devices. We propose 3DRing, a 3D hand position tracking method that requires only low-framerate (LFR,

Fields of Study & Subjects

Hand Gesture Recognition Systems Interactive and Immersive Displays Augmented Reality Applications

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–18
Publication date
13 April 2026