Paper
7 December 2023 Research on driver monitoring system based on vital signs and behavior detection
Lei Chai
Author Affiliations +
Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294132 (2023) https://doi.org/10.1117/12.3011520
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
Aiming at drivers' dangerous driving behavior monitoring and health monitoring of drivers, this paper designs an intelligent steering wheel which can monitor dangerous driving behavior and a steering wheel sleeve which can monitor physical health. The MTCNN model is primarily used to obtain the driver’s face image in real time. The PFLD algorithm was used to obtain the facial model positioning feature points, and the degree of driver's fatigue was determined by combining the relevant parameters. The fatigue algorithm proposed in this paper can improve the effectiveness and accuracy of the monitoring. Then, according to the LSTM network model, 11 groups of key point information of the human body are obtained, and the human motion track is identified, and then combined with the facial information, so as to complete the judgment of driving behavior such as drinking water, smoking and walking. Through the PPG and ECG fusion algorithm based on LSTM, the reliability of the system to collect vital signs such as body temperature, blood pressure, heart rate and blood oxygen of the driver is improved. It was experimented that the system could monitor a driver's driving behavior in real time and consider its health management.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lei Chai "Research on driver monitoring system based on vital signs and behavior detection", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294132 (7 December 2023); https://doi.org/10.1117/12.3011520
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KEYWORDS
Eye

Vital signs

Mouth

Facial recognition systems

Autonomous driving

Detection and tracking algorithms

Heart

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