EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation

Abstract

Real-time hand pose estimation has a wide range of applications spanning gaming, robotics, and human-computer interaction. In this paper, we introduce EITPose, a wrist-worn, continuous 3D hand pose estimation approach that uses eight electrodes positioned around the forearm to model its interior impedance distribution during pose articulation. Unlike wrist-worn systems relying on cameras, EITPose has a slim profile (12 mm thick sensing strap) and is power-efficient (consuming only 0.3 W of power), making it an excellent candidate for integration into consumer electronic devices. In a user study involving 22 participants, EITPose achieves with a within-session mean per joint positional error of 11.06 mm. Its camera-free design prioritizes user privacy, yet it maintains crosssession and cross-user accuracy levels comparable to camera-based wrist-worn systems, thus making EITPose a promising technology for practical hand pose estimation.

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Citation

Kyu, A., Mao, H., Zhu, J., Goel, M., & Ahuja, K. (2024, May). EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-10).