The Study of Methodologies for Identifying the Drowsiness in Smart Traffic System: A Survey

Driver’s distraction has become an important safety concern, due to the use of in vehicle information systems such as mobile phones, GPRS and satellite radios. To overcome this problem we need to reduce such distractions and adapt in vehicle systems accordingly. The existing physiological signal monitoring systems have the ability to only record the signals without automatic analysis. However, biomedical signal monitoring systems are advanced with automatic analysis. In our proposed topic of brain computer interface (BCI) system that can acquire and analyze electroencephalogram (EEG) signals in real-time to monitor human physiological and cognitive states, which in turn provides warning signals to the user during danger. The BCI system has 5 units, bio signal acquisition/amplification unit, a wireless transmission unit, a embedded signal processing unit, a host system for data storage and real-time display, and a warning device are been implemented and integrated into the system to close the loop of BCI system.