Hand Gesture Recognition Using FMCW Radar in Multi-Person Scenario

Davi Rodrigues, Changzhi Li

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

Abstract

Remote hand gesture recognition using radio frequency (RF) waves is an emerging approach for the interaction between users and smart devices. In this paper, the feasibility of using frequency-modulated continuous-wave (FMCW) radar to recognize hand gestures when multiple closely spaced subjects are illuminated by the same sensor is investigated. Four hand gestures are suggested. Existing radar-based hand gesture recognition mainly relied on the Doppler effect caused by one motion in the sensor's field of view. Besides, they did not consider the random body motion of targets situated at the same range, which is not practical in real-life scenarios. Leveraging the range discrimination capability of FMCW radars and characteristic signal extraction, interference rejection is achieved in this paper. Experimental results confirm the effectiveness of the FMCW radar based remote control approach in the presence of multiple interferences.

Original languageEnglish
Title of host publication2021 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-52
Number of pages3
ISBN (Electronic)9780738123905
DOIs
StatePublished - Jan 17 2021
Event2021 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2021 - Virtual, San Diego, United States
Duration: Jan 17 2021Jan 22 2021

Publication series

Name2021 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2021

Conference

Conference2021 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2021
Country/TerritoryUnited States
CityVirtual, San Diego
Period01/17/2101/22/21

Keywords

  • FMCW radar
  • hand gesture
  • micro-Doppler
  • range profile
  • remote control

Fingerprint

Dive into the research topics of 'Hand Gesture Recognition Using FMCW Radar in Multi-Person Scenario'. Together they form a unique fingerprint.

Cite this