Hand gesture recognition based on Wi-Fi chipsets

Tenglong Fan, Dexin Ye, Jiangtao Hangfu, Yongzhi Sun, Changzhi Li, Lixin Ran

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

2 Scopus citations

Abstract

Hand gesture recognition (HGR) based on radar technology is becoming a hot topic recently. In this paper, we utilize a regular Wi-Fi transceiver chipset to construct a coherent radar sensor. The direct conversion and digital baseband signal processing technologies are used to detect hand motions with specific signatures. Experiments based on a dual-channel receiver aiming to detect two-dimensional motions are conducted, and the results show promising potentials in HGR applications.

Original languageEnglish
Title of host publication2017 IEEE Radio and Wireless Symposium, RWS 2017
PublisherIEEE Computer Society
Pages98-100
Number of pages3
ISBN (Electronic)9781509034451
DOIs
StatePublished - Mar 23 2017
Event2017 IEEE Radio and Wireless Symposium, RWS 2017 - Phoenix, United States
Duration: Jan 15 2017Jan 18 2017

Publication series

NameIEEE Radio and Wireless Symposium, RWS
ISSN (Print)2164-2958
ISSN (Electronic)2164-2974

Conference

Conference2017 IEEE Radio and Wireless Symposium, RWS 2017
CountryUnited States
CityPhoenix
Period01/15/1701/18/17

Keywords

  • Pattern recognition
  • Wi-Fi
  • radar sensor

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  • Cite this

    Fan, T., Ye, D., Hangfu, J., Sun, Y., Li, C., & Ran, L. (2017). Hand gesture recognition based on Wi-Fi chipsets. In 2017 IEEE Radio and Wireless Symposium, RWS 2017 (pp. 98-100). [7885956] (IEEE Radio and Wireless Symposium, RWS). IEEE Computer Society. https://doi.org/10.1109/RWS.2017.7885956