TY - GEN
T1 - FMCW Radar Driver Head Motion Monitoring Based on Doppler Spectrogram and Range-Doppler Evolution
AU - Chae, Rachel
AU - Wang, Anna
AU - Li, Changzhi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/9
Y1 - 2019/5/9
N2 - 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.
AB - 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.
KW - Doppler
KW - FMCW radar
KW - driver monitoring
KW - head motion
KW - range-Doppler evolution
UR - http://www.scopus.com/inward/record.url?scp=85066633551&partnerID=8YFLogxK
U2 - 10.1109/WISNET.2019.8711807
DO - 10.1109/WISNET.2019.8711807
M3 - Conference contribution
AN - SCOPUS:85066633551
T3 - 2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019
BT - 2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019
Y2 - 20 January 2019 through 23 January 2019
ER -