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Proceedings Paper

Nature of distracted driving in various physiological conditions
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Paper Abstract

Road traffic injury has appeared as a severe problem today, claiming more than 1.25 million lives each year worldwide and draining 3% of the total global GDP. According to the National Highway Transportation Safety Administration, about half a million people got injured in 2014 due to distracted driving related car clashes. In this work, we have considered the brainwave, heart rate and blood pressure level of a distracted driver. Within the various source of distraction (e,g, multitasking, severe weather condition, external sound effects) we monitored the driving behavior through EEG signal. In particular, the alpha, beta, gamma, delta and theta brainwaves have a significant connection with the emotion, stress and other psychological responses. Our EEG data analysis can provide a pathway to detect the physiological condition of distracted drivers and avoid road accidents.

Paper Details

Date Published: 6 September 2019
PDF: 9 pages
Proc. SPIE 11139, Applications of Machine Learning, 111391B (6 September 2019); doi: 10.1117/12.2535411
Show Author Affiliations
Yihang Chu, Michigan State Univ. (United States)
Hasanur Rahman Chowdhury, Michigan State Univ. (United States)
Abu Mitul, Michigan State Univ. (United States)
Nezam Uddin, Michigan State Univ. (United States)
Mohammad Jobayer Hossain, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
Dean Aslam, Michigan State Univ. (United States)

Published in SPIE Proceedings Vol. 11139:
Applications of Machine Learning
Michael E. Zelinski; Tarek M. Taha; Jonathan Howe; Abdul A. S. Awwal; Khan M. Iftekharuddin, Editor(s)

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