Year: 2025
Type: article
Abstract: This research aims to: 1) to study the driver drowsiness detection and warning system using the Internet of Things technology, 2) to design and develop the driver drowsiness detection and warning system using the Internet of Things technology, and 3) to test and evaluate the efficiency of the driver drowsiness detection and warning Sumran Chaikhamwang, Tulsit Darasawang, Rungrot Sukjaimuk, Thidalak Yuyen, Anusorn Chaikaew https://iaeme.com/Home/journal/IJIDS
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4409291859