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.
IoT Based Automotive Driver Drowsiness Prediction System Using Heart Rate Variability and Galvanic Skin Response
2020-02-01
321045 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Drowsy Driver Detection Using Galvanic Skin Response
Springer Verlag | 2023
|Heart Beat Based Drowsiness Detection System for Driver
IEEE | 2018
|The Heart Rate Variability Correlates of Spontaneous Drowsiness Onset
SAE Technical Papers | 1973
|Driver drowsiness prediction system and method thereof
Europäisches Patentamt | 2015
|Springer Verlag | 2017
|