Driver assistant for the detection of drowsiness and alcohol effect

Abstract

Drowsiness is becoming a severe issue in case of traffic accidents. Normally, Sleeping can be identified from several factors like eye blink level, yawning, gripping force on the wheel and so on. But all these measuring techniques will check only the physical activities of the human. In some cases, people will mentally sleep with eyes open for a few seconds. This will make very big accidents in driving. The key work of the project is analysing the brain signals. Human brain consists of millions of interconnected neurons. This neuron pattern will change according to the human thoughts. If a person is mentally sleeping with eyes open then the attention level brain signal will get changed compared to the normal condition. This project work uses a forehead single dry electrode which can collect Electroencephalogram (EEG) based brain signals of different frequency and amplitude. Then using data aquisition system and LABVIEW software the collected signals are analysed. Depending on mental stages different EEG signals are generated. The EEG signals are analysed in LABVIEW to reveal the features which describes the human stage.