Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi CSI

Kazuya Ohara, Takuya Maekawa, Stephan Sigg, Moustafa Youssef

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

1 Citation (Scopus)
198 Downloads (Pure)

Abstract

This study investigates the feasibility of hand gesture recognition independent of the user position using Wi-Fi channel state information (CSI) obtained from a smartphone carried by a user. In this paper, we investigate the effectiveness of the component corresponding to the velocity of hand movements extracted from CSI for gesture recognition.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
PublisherIEEE
Pages480-483
Number of pages4
ISBN (Electronic)978-1-5386-3227-7
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Pervasive Computing and Communications Workshops - Athens, Greece
Duration: 19 Mar 201823 Mar 2018

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communications Workshops
Abbreviated titlePerCom Workshops
CountryGreece
CityAthens
Period19/03/201823/03/2018

Keywords

  • gesture recognition
  • Wi-Fi channel state information

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  • Cite this

    Ohara, K., Maekawa, T., Sigg, S., & Youssef, M. (2018). Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi CSI. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 480-483). IEEE. https://doi.org/10.1109/PERCOMW.2018.8480253