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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
31.08.2023
DOI
https://doi.org/10.7307/ptt.v35i4.134
ISSUE
2023 (Vol 35), Issue 4
LICENSE
Copyright (c) 2024 Jiuju Bi, Xunpeng Qin, Dongjin Hu, Chenyang Xu
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Fatigue Driving Detection Method Based on IPPG Technology

Authors:Jiuju Bi, Xunpeng Qin, Dongjin Hu, Chenyang Xu

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

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