Demo of 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 cross-session 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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Published
2024-10-11
DOI
https://doi.org/10.1145/3672539.3686770
Primary Topic
Muscle activation and electromyography studies
Type
article
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article

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

Karan Ahuja, Mayank Goel, Junyi Zhu, Alexander Kyu et al.
Muscle activation and electromyography studies
article

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

Karan Ahuja, Mayank Goel, Junyi Zhu, Alexander Kyu, Hongyu Mao
article en

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 cross-session and cross-user accuracy levels comparable to camera-based wrist-worn systems, thus making EITPose a promising technology for practical hand pose estimation.

Northwestern University (US), Vassar College (US), Carnegie Mellon University (US)
Openalex Percentile: Top 84%
Muscle activation and electromyography studies
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Demo of EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation — Karan Ahuja, Mayank Goel, et al. · (2024) | TGRS Research Map | TGRS