Abstract
AbstractMicrosleep happens when a sleepy individual is attempting to resist sleep and stay awake. Microsleep also can occur while a person is driving, which will significantly increase the risk of a fatal collision. Thus, detecting microsleep and prevent from happening is become very crucial nowadays. This project aims to develop an effective Microsleep Detector Device (MDD) equipped with a warning system before a driver falls asleep on the wheel. An experiment was conducted to observe the symptoms of drivers such as yawning, rubbing eyes, body incline to the front while driving, and map with Karolinska Sleepiness Scale (KSS). A total of ten respondents (Mean Age = 24 Years Old, SD = 0.4) participated in the experiment. They had experienced a total of 4 sessions with 30 min of driving per session on a driving simulator. An alarm was set based on the Eye Aspect Ratio (EAR) of the individual participants if the EAR value exceeds the threshold. The result of EAR shows that that the respondents were getting sleepy after an hour of driving. The results of KSS showed KSS's level of participants increased from level 5 to level 6 after one hour of driving. Overall, the MDD performance result indicates the average value of (M:5), implying that the device can detect the respondent's EAR. The KSS level slightly declines from level 6 to level 5 just after the warning system is triggered. In a nutshell, microsleep can affect the performance as well as safety of drivers. These show that the device will increase the alertness of micro- sleep while driving, which eventually reduces the number of accidents.KeywordsMicrosleepEye aspect ratioKarolinska sleepiness scale
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