Abstract
Brain Signal Based Driver Drowsiness Prediction
Highlights
Brain Signal Based Driver Drowsiness PredictionAddzrull Hi-Fi Syam Ahmad Jamil, Mohd Lutfi Mohd Khidir, Mohd Firdaus Mohd Mokhtar
Fatigue, sleepiness and stress while driving are common among the heavy vehicle and car drivers in Malaysia, with various possible causes: acute and chronic sleep deprivation, driving the vehicle for long hours and at different driving patterns, irregular schedule changes, and sleep disorders due to the driver’s working conditions, especially at monotonous driving environment (Al-Sultan, Al-Bayatti, & Zedan, 2013; Fai, 2015).Driving a vehicle under the influences of fatigue/drowsiness will cause longer response time, vigilance reduction and deficits in communication and information processing, which may lead to higher risk of collision and lacks correctness in decision-making, especially at high speeds
In this research work, it is proposed to develop an adaptive heavy vehicle driver fatigue and alertness model based on EEG frequency bands by combining signal processing algorithms and soft computing techniques such as Neuro-fuzzy algorithm to estimate the driver cognitive state while driving a vehicle in a virtual reality (VR)-based dynamic simulator under monotonous driving environment
Summary
Addzrull Hi-Fi Syam Ahmad Jamil, Mohd Lutfi Mohd Khidir, Mohd Firdaus Mohd Mokhtar. In-Text Citation: (Jamil et al, 2021) To Cite this Article: Jamil, A. International Journal of Academic Research in Business and Social Sciences, 11(2), 75–80. Vol 11, No 2, 2021, Pg. 75 - 80 http://hrmars.com/index.php/pages/detail/IJARBSS
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Academic Research in Business and Social Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
