FMCW Radar Driver Head Motion Monitoring Based on Doppler Spectrogram and Range-Doppler Evolution

Rachel Chae, Anna Wang, Changzhi Li

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

2 Scopus citations

Abstract

Lack of driver alertness is one of the leading causes of traffic accidents. In this work, a coherent FMCW radar was used to observe the Doppler and range signatures of various head motions. The Doppler and range information was analyzed using range-Doppler evolution, and the Doppler signature was extracted from range-Doppler evolution to create a Doppler spectrogram within LabVIEW. By analyzing the range-Doppler and the Doppler spectrogram in different head and neck motions, Doppler and range characteristics of dorsal flexion of the neck, the motion that indicates low driver alertness, were distinguished from those of other driver head and neck motions. Ultimately, experiments demonstrated the potential of radar-based head motion detection as a driver monitoring solution.

Original languageEnglish
Title of host publication2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538659533
DOIs
StatePublished - May 9 2019
Event2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019 - Orlando, United States
Duration: Jan 20 2019Jan 23 2019

Publication series

Name2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019

Conference

Conference2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019
CountryUnited States
CityOrlando
Period01/20/1901/23/19

Keywords

  • Doppler
  • FMCW radar
  • driver monitoring
  • head motion
  • range-Doppler evolution

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