Original scientific paper
https://doi.org/10.7307/ptt.v35i4.134
Fatigue Driving Detection Method Based on IPPG Technology
Jiuju Bi
; Hubei Key Laboratory of Advanced Technology of Automotive Components, Wuhan University of Technology
Xunpeng Qin
; Hubei Key Laboratory of Advanced Technology of Automotive Components, Wuhan University of Technology
Dongjin Hu
; Hubei Key Laboratory of Advanced Technology of Automotive Components, Wuhan University of Technology
Chenyang Xu
; Hubei Key Laboratory of Advanced Technology of Automotive Components, Wuhan University of Technology
Abstract
Physiological signal index can accurately reflect the degree of fatigue, but the contact detection method will greatly affect the driver's driving. This paper presents a non-contact method for detecting tired driving. It uses cameras and other devices to collect information about the driver's face. By recording facial changes over a period and processing the captured video, pulse waves are extracted. Then the frequency domain index and nonlinear index of heart rate variability were extracted by pulse wave characteristics. Finally, the experiment proves that the method can clearly judge whether the driver is tired. In this study, the Imaging Photoplethysmography (IPPG) technology was used to realise non-contact driver fatigue detection. Compared with the non-contact detection method through identifying drivers' blinking and yawning, the physiological signal adopted in this paper is more convincing. Compared with other methods that detect physiological signals to judge driver fatigue, the method in this paper has the advantages of being non-contact, fast, convenient and available for the cockpit environment.
Keywords
vehicle safety system; active safety system; intelligent vehicle; fatigue detection; imaging photoplethysmography
Hrčak ID:
307623
URI
Publication date:
31.8.2023.
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