Year-end Sale % OFF 
Abstract
Distraction of drivers while driving on roadways results in the death of 1.2 million people, approximately every year around the globe. Even though there are several improvements made in road and vehicle design, the total number of accidents is higher. In 2015, 3,477 people were dead and 3,91,000 were injured during motor vehicle crashes associating distracted drivers. Our paper is aimed to prevent and reduce the rate of motor vehicle accidents that are caused by human errors and distraction during driving. We study the different postures of the driver by means of the hand localization, skin segmentation and facial data. In our paper, we propose a reliable deep-learning CNN model that attains 92% accuracy.
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 callMore From: International Journal on Cybernetics & Informatics
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.
