Abstract

Traffic-related reports identify drowsiness as an important factor in traffic accidents. Mitigating traffic-related accidents due to drowsiness requires a driver's drowsiness monitoring system, followed by an alert mechanism. This paper proposes a new technique that instantaneously detects whether the driver is awake or in stage-one sleep condition. The proposed technique is based on a real-time system that monitors and analyzes the EEG signal of the driver using a single dry-sensor EEG headset. Using this system, we were able to detect the driver's state in real time. When the EEG waves of the driver match that of the stage-one sleep, the system produces an audible alarm to alert him. The system has reached an average accuracy of 97.6% detecting sleep in a sample of 60 subjects using the statistical characteristics of the EEG waves. Compared with similar approaches, the proposed approach is more affordable, time-efficient and less complex.

Full Text

Published Version

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 call

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.