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.
Authors
- Karan Ahuja (ORCID: https://orcid.org/0000-0003-2497-0530)
- Mayank Goel (ORCID: https://orcid.org/0000-0003-1237-7545)
- Junyi Zhu (ORCID: https://orcid.org/0000-0001-6166-6138)
- Alexander Kyu (ORCID: https://orcid.org/0009-0004-6207-6024)
- Hongyu Mao (ORCID: https://orcid.org/0000-0002-5619-1374)
Institutions
- Northwestern University (US)
- Vassar College (US)
- Carnegie Mellon University (US)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1145/3672539.3686770
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00