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EIT-kit: An Electrical Impedance Tomography Toolkit for Health and Motion Sensing

Authors:

Jackson C Snowden,

Joshua Verdejo,

Hamid Ghaednia,

Joseph H Schwab,

Stefanie MuellerAuthors Info & Claims

UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology

Pages 400 - 413

https://doi.org/10.1145/3472749.3474758

Published: 12 October 2021 Publication History

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Abstract

In this paper, we propose EIT-kit, an electrical impedance tomography toolkit for designing and fabricating health and motion sensing devices. EIT-kit contains (1) an extension to a 3D editor for personalizing the form factor of electrode arrays and electrode distribution, (2) a customized EIT sensing motherboard for performing the measurements, (3) a microcontroller library that automates signal calibration and facilitates data collection, and (4) an image reconstruction library for mobile devices for interpolating and visualizing the measured data. Together, these EIT-kit components allow for applications that require 2- or 4-terminal setups, up to 64 electrodes, and single or multiple (up to four) electrode arrays simultaneously.

We motivate the design of each component of EIT-kit with a formative study, and conduct a technical evaluation of the data fidelity of our EIT measurements. We demonstrate the design space that EIT-kit enables by showing various applications in health as well as motion sensing and control.

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cover image ACM Conferences

UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology

October 2021

1357 pages

ISBN:9781450386357

DOI:10.1145/3472749

Editors:
Jeffrey Nichols
Apple, USA
,
Ranjitha Kumar
UIUC, USA
,
Michael Nebeling
University of Michigan, USA

Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 12 October 2021

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UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology

October 10 - 14, 2021

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Cited By

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https://doi.org/10.3390/s24165269
Mao HKyu AZhu JGoel MAhuja K(2024)Demo of EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose EstimationAdjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3672539.3686770(1-3)Online publication date: 13-Oct-2024
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https://dl.acm.org/doi/10.1145/3631425
Kyu AMao HZhu JGoel MAhuja K(2024)EITPose: Wearable and Practical Electrical Impedance Tomography for Continuous Hand Pose EstimationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642663(1-10)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642663
Wang YNaritomi DShigemune HThuruthel T(2024)Multi-Layer Electrical Impedance Tomography Based Soft Tactile Skins2024 IEEE 7th International Conference on Soft Robotics (RoboSoft)10.1109/RoboSoft60065.2024.10521981(1101-1106)Online publication date: 14-Apr-2024
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