IoT Based Automotive Driver Drowsiness Prediction System Using Heart Rate Variability and Galvanic Skin Response

Abstract

The fatigue of the driver is a major factor in multitudinous vehicle accidents. Therefore, the enervation of driver has been considered a paramount element to prevent the aforementioned problem. The research is instigated by studying the already existing techniques and their flaws. The study reveals that there is a tradeoff between cost and accuracy of the existing solutions. The research then focuses on an algorithm to cater the two prime drawbacks and finally proposes an IoT based wearable device solution which is affordable and provide desired outcomes.