A fatigue driving detection method based on Frequency Modulated Continuous Wave radar

Fatigue driving often causes serious traffic accidents and heavy casualties. In order to detect fatigue driving, the application based on driver's physiological characteristics have been presented and investigated. However, the existing methods are usually contacting and the detection environment is singular. The accuracy under face occlusion is abs s loss and some fatigue recognition indicators are missing. Therefore, this paper propos-method of fatigue driving detection based on Frequency Modulated continuous Wase (FMCW) radar. An millimeter ave(mmWave) AWRI 642 radar sensor was chosen, and the platform of fatigue driving detection was designed and built. Respiration and heartbeat signals were acquired, separated and preprocessed_ In addition, logistics regression w as utilized in the fatigue driving judgment algorithm Multiple indicators of heart rate frequency, respiration frequency, hear rate amplitude and respiration amplitude were fused. The results showed that the accuracy of determining driving fatigue was up to 85 % Our proposed method realizes the accurate non-contacting detection of respiration and heartbeat signals of human beings. It provides all-weather and multi-index measurement, is hich is suitable to must driving environments.

Automated summary

This paper proposes a method for fatigue driving detection based on FMCW radar, achieving an accuracy of up to 85% through the fusion of multiple physiological indicators. It provides a new possibility for non-contact detection and multi-index measurement.