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

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

Alexander Kyu, Hongyu Mao, Junyi Zhu, Mayank Goel, and Karan Ahuja. 2024. EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 402, 1–10. https://doi.org/10.1145/3613904.3642663