![]() ![]() The error explains whether the system was able to provide a correct output or not. The results of all the trails made were compared to the output of the expected and actual results. A value of 1 is given to the point at which the participant is already in the drowsy state and 0 to the attention state (non-drowsy). ![]() Numerical labels 1 and 0 are applied to the performance of the system. Collected data included the continuous driving time prior to detection of drowsiness. Key Words: Arduino microcontroller, GSM module, GPS module, EEG sensor, Respiratory sensor, Emergency switch. The system is integrated with an alarm system which will activate when the brain activity fluctuates that utilized Arduino module. A driving experimental setup was designed and conducted using 10 participant participants. This paper presents a wearable pre-frontal single-channel Electroencephalogram (EEG) tool that will determine the state of the mind of the driver automatically, drowsy which focus on the transition from awake to asleep and non-drowsy. Detection of drowsiness using wearable sensors leads to attempts to identify driver sleepiness by incorporating emerging technology for real-time sleepiness detection. The adverse effect of sleepy driving is a big concern and is closely related to numerous near-misses and driving accidents.
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