EEG Based Oscitancy Classification System for Accidental Prevention

Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution

“…Undoubtedly, the proposed approach is more advantageous, since automotive industries are increasingly focusing on in-vehicle smart BCI systems [10,11] and can provide information for the different alcohol-related brain states, offering the chance to avoid a possible fatal car accident due to alcohol consumption. Furthermore, the Emotiv EPOC+ is a lightweight, wearable EEG device that consists of 14 channels and is more suitable, instead of a single-channel [18] or a 5-channel device [21], providing more spatial information, and hence accurate assessment of the driver's mental state after alcohol intake.…”

“…Also, increased relative power in low-alpha (8-10 Hz) and decrease in the correlation between right frontal-parietal have been reported [19]. On the other hand, research studies [21], from subjects who stayed passive during EEG recording, have related the power drop of the EEG signals acquired from the frontal lobe to extensive alcohol intake [21], as well as the increase in central occipital region [21]. These findings may serve as biomarkers for extensive alcohol consumption or potential alcoholism identification.…”

“…Most of the studies [12][13][14][15] focused on alcoholic patients and the subtle EEG changes, which can differentiate normal individuals from alcoholic patients. Other groups of researchers employed normal subjects which consumed alcohol either performing a task [16][17][18][19][20] or staying passive in resting state [21].…”

“…Alcohol intake affects a driver's mental state resulting in fatigue and drowsiness [24], which increases dramatically the risk of a fatal car accident. In view of this, Sarraf et al [21] performed an EEG analysis on 50 drunk and 50 non-drunk people. Their objective was to develop an intelligence system architecture that will enable/disable the car engine according to the abnormalities in EEG signal and not based on the driver's breath that could deceive the smart system.…”