TY - JOUR
T1 - Non-contact and non-invasive driver’s monitor using microwave reflectometer
AU - Mase, Atsushi
AU - Kogi, Yuichiro
AU - Maruyama, Toru
AU - Tokuzawa, Tokihiko
AU - Kunugita, Masaki
AU - Koike, Tatsuya
AU - Hasegawa, Hiroyasu
N1 - Funding Information:
This work is supported by the Grant-in Aid for Scientific Research, The Ministry of Education, Science, Sports, and Culture, Japan (No. 17K01310) and Adaptable and Seamless Technology Transfer Program through Target-Driven R&D, Japan Science and Technology (No. AS2311355F). This work is also performed with the support and under the auspices of the NIFS Collaboration Research program (NIFS17KKGP035, NIFS18KLEP027).
Publisher Copyright:
© 2020, Electromagnetics Academy. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This paper describes the measurement of a driver’s instantaneous heart rate corresponding to R-R interval in electrocardiogram and heart-rate variability (HRV) using 24 GHz radar reflectometers. Elimination of the spurious component due to random movement of a driver has been the most difficult problem for microwave measurement. Auto-gain control of the receiver, template matching and cross-correlation technique among multiple reflectometers enable motion artifact elimination, signal peak detection, and data processing for various parameters. The measurement of vital signals is considered useful for predicting the change in a driver’s state, such as a heart attack as well as detecting drowsy driving, drunk driving, and fatigue.
AB - This paper describes the measurement of a driver’s instantaneous heart rate corresponding to R-R interval in electrocardiogram and heart-rate variability (HRV) using 24 GHz radar reflectometers. Elimination of the spurious component due to random movement of a driver has been the most difficult problem for microwave measurement. Auto-gain control of the receiver, template matching and cross-correlation technique among multiple reflectometers enable motion artifact elimination, signal peak detection, and data processing for various parameters. The measurement of vital signals is considered useful for predicting the change in a driver’s state, such as a heart attack as well as detecting drowsy driving, drunk driving, and fatigue.
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M3 - Article
AN - SCOPUS:85081332853
SN - 1937-8726
VL - 90
SP - 81
EP - 88
JO - Progress In Electromagnetics Research M
JF - Progress In Electromagnetics Research M
ER -