Gesture Recognition: A Comprehensive Approach Using Electrical Impedance Tomography for Whole-Arm Monitoring

  • Sen Wang
  • , Borun Li
  • , Tingting Zhang
  • , Jian Wang
  • , Zhibing Zhao
  • , De Wen Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This study introduces an EIT -based gesture recognition system focusing on the entire arm, including hand movements. Utilizing a 16-electrode system and the Gauss-Newton method, we conducted experiments with six participants, testing various gestures at frequencies of 1 kHz, 10 kHz, and 100 kHz. The introduced Similarity Evaluation Index (SEI) identified 10 kHz as a potentially optimal testing frequency, exhibiting an 11 % difference in relative conductivity. Repeated measurements demonstrated system stability, while individual variations underscored the complexity influenced by behavioral habits and physiology. Future endeavors aim to refine sensitivity, expand the gesture repertoire, and explore practical applications, positioning this work at the forefront of human-technology interaction research.

Original languageEnglish
Title of host publicationI2MTC 2024 - Instrumentation and Measurement Technology Conference
Subtitle of host publicationInstrumentation and Measurement for Sustainable Future, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350380903
DOIs
StatePublished - 2024
Event2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024 - Glasgow, United Kingdom
Duration: 20 May 202423 May 2024

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

Conference2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024
Country/TerritoryUnited Kingdom
CityGlasgow
Period20/05/2423/05/24

Keywords

  • Comprehensive Arm Movements
  • Electrical Impedance Tomography
  • Gesture Recognition
  • Real-time Monitoring

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