Detecting the Drowsiness Using Eeg Based Power Spectrum Analysis

S. Rajkiran*, R. Ragul and M. R Ebenezar Jebarani

Sathyabama University

ABSTRACT: Detection of drowsiness is one of the biggest challenges for human beings. Especially during the night driving, it is very important for the person to be in awakening state. While driving, a matter of few seconds of the involuntary activity of humans may end in an accident. In order to detect the drowsiness the mind wave mobile, along with the Brain-Computer Interface (BCI) technology is used in this proposed work. Millions of neurons play a major role in the human brain. During every movement of the human beings, the pattern of neuron changes while walking, running, sleeping mode etc. The special device of mind wave mobile helps to detect the blink rate and meditation period through variations occur in the eye movement. The Level Splitter Section (LSS) plays a vital role in analyzing both meditation and blink rate in order to control the speed of the vehicle. The main idea of the proposed work is helping the person to reach the destination point in a safe manner.

KEYWORDS: Brain-Computer Interface (BCI); Level Splitter Section (LSS); Brainwave Module; Electroencephalogram (EEG) signals

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