Integrative Mobile Sensor Framework for Driver Behavior Analysis: Real-Time Monitoring of Facial and Physiological Parameters to Enhance Road Safety
DOI:
https://doi.org/10.63949/crinfo.v1i1.001Keywords:
- Driving Strategies,
- IoT,
- Driver fatigue,
- Driver Behaviour
Abstract
Everywhere in the world, the behavior of drivers has been the various reasons for horrible accidents, which are causing deaths, fatalities, and injuries. Every Day, the number of accidents is increasing globally. Many scientists have concluded drivers have less sleep and more workload, which causes drivers' mood changes. In this paper, an experimental model is used to detect the drivers' behavior to decrease the possibility of accidents caused by this problem, which increases driver safety. During this work, two methods effectively detect a person's behavior. The Driver's face is captured, eye retina detection and facial feature extraction are completed, blinking values are calculated, and threshold values are set. Secondly, an Aurdino module is used, which is integrated with elastomeric sensors for real-time calculation of driver hand pressure on the wheel, and the threshold value is prepared. A result from both methods is taken as input for making a judicial decision and alerting the driver.
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References
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