MICROSLEEP DETECTION TECHNIQUE
Author(s):
SUMITHA A, SUBHA.R
Keywords:
EAR, micro-sleep, Drowsiness
Abstract
In recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries and deaths. On-road driver’s fatigue and drowsiness are contributing more than 30% of reported road accidents [1]. Statistics indicate the need for a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Driver drowsiness can be estimated by monitoring vehicle-based measures, behavioral measures and physiological measures. The physiological measure includes eye-blinks, yawning, nodding of heads. The Blink and micro-sleep detection mechanisms are implemented by monitoring EAR. EAR is calculated by calculating Euclidean distance between measured eye coordinates. Blinks and drowsiness levels are displayed on the monitor screen with a micro-sleep detection audio warning.
Article Details
Unique Paper ID: 149111

Publication Volume & Issue: Volume 6, Issue 11

Page(s): 242 - 248
Article Preview & Download


Go To Issue



Call For Paper

Volume 7 Issue 1

Last Date 25 June 2020


About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:+91 820 061 5067
Email: editor@ijirt.org
Website: ijirt.org

Policies