Work

Automatic Microsleep Detection Appoach for Car Drivers Using YOLO5 Based on Image Feature

Year: 2025

Type: article

Abstract: Microsleep is a condition that indicates a transition from drowsiness to sleep characterized by temporary eye closure, a condition where if there is stimulation from outside the body can not respond properly, and is sometimes or often characterized by head nodding. The problem formulation in this research is how to identify car drivers' microsleep using artificial intelligence. This research purpose is to propose a microsleep identification system for car drivers using artificial intelligence. The originality of this research is trying to apply facial data of car drivers, based on this data it is then identified whether the driver is in microsleep or not using You Only Live Once 5 (YOLO5). The method used is artificial intelligence. This research stage includes taking microsleep data, dividing learning data and testing data, learning process, testing process, and performance analysis. It can be concluded that by using YOLO5 the system can identify whether the car driver is in microsleep.

Source: TEM Journal

DOI: 10.18421/tem143-07

Authors: Lilik Anifah, Nurhayati Nurhayati, Haryanto Haryanto, Muhamad Syariffuddien Zuhrie

Institutions: Universitas Negeri Surabaya, Universitas Trunodjoyo Madura

Language: English

Topic: Sleep and Work-Related Fatigue

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $647