Hand gesture and on-body touch recognition by active acoustic sensing throughout the human body

Tomohiro Yokota, Tomoko Hashida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we present a novel acoustic sensing technique that recognizes two convenient input actions: hand gestures and on-body touch. We achieved them by observing the fre-quency spectrum of the wave propagated in the body, around the periphery of the wrist. Our approach can recognize hand gestures and on-body touch concurrently in real-time and is expected to obtain rich input variations by combining them. We conducted a user study that showed classification accu-racy of 97%, 96%, and 97% for hand gestures, touches on the forearm, and touches on the back of the hand.

Original languageEnglish
Title of host publicationUIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages113-115
Number of pages3
ISBN (Electronic)9781450345316
DOIs
Publication statusPublished - 2016 Oct 16
Event29th Annual Symposium on User Interface Software and Technology, UIST 2016 - Tokyo, Japan
Duration: 2016 Oct 162016 Oct 19

Publication series

NameUIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology

Other

Other29th Annual Symposium on User Interface Software and Technology, UIST 2016
CountryJapan
CityTokyo
Period16/10/1616/10/19

Keywords

  • Acoustic sensing
  • Combined input
  • Hand gestures
  • Machine learning
  • On-body touch

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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  • Cite this

    Yokota, T., & Hashida, T. (2016). Hand gesture and on-body touch recognition by active acoustic sensing throughout the human body. In UIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology (pp. 113-115). (UIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology). Association for Computing Machinery, Inc. https://doi.org/10.1145/2984751.2985721