A Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection

Chin-Teng Lin, Che-Jui Chang, Bor-Shyh Lin, Shao-Hang Hung, Chih-Feng Chao, I-Jan Wang
2010 IEEE Transactions on Biomedical Circuits and Systems  
A real-time wireless electroencephalogram (EEG)based brain-computer interface (BCI) system for drowsiness detection has been proposed. Drowsy driving has been implicated as a causal factor in many accidents. Therefore, real-time drowsiness monitoring can prevent traffic accidents effectively. However, current BCI systems are usually large and have to transmit an EEG signal to a back-end personal computer to process the EEG signal. In this study, a novel BCI system was developed to monitor the
more » ... man cognitive state and provide biofeedback to the driver when drowsy state occurs. The proposed system consists of a wireless physiological signal-acquisition module and an embedded signal-processing module. Here, the physiological signal-acquisition module and embedded signal-processing module were designed for long-term EEG monitoring and real-time drowsiness detection, respectively. The advantages of low ower consumption and small volume of the proposed system are suitable for car applications. Moreover, a real-time drowsiness detection algorithm was also developed and implemented in this system. The experiment results demonstrated the feasibility of our proposed BCI system in a practical driving application. Index Terms-Drowsiness detection, electroencephalogram (EEG), brain-computer interface (BCI).
doi:10.1109/tbcas.2010.2046415 pmid:23853367 fatcat:73qycattgrbjhccre33jzgh6qa