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

Summary/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.

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