EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation
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3613904.3642663.pdf
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3.47 MB
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Adobe PDF
Checksum (MD5)
2ce6e2635e12629626426a662f1aac09
Author(s)
Kyu, Alexander
Mao, Hongyu
Zhu, Junyi
Goel, Mayank
Ahuja, Karan
Date Issued
May 11, 2024
Publisher
ACM
Citation
Kyu, Alexander, Mao, Hongyu, Zhu, Junyi, Goel, Mayank and Ahuja, Karan. 2024. "EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose Estimation."
Version
Final published version
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.
Description
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems May 11–16, 2024, Honolulu, HI, USA
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1145/3613904.3642663
