Abstract
Diversified approaches for development of braking assistant system have been employed to assure the safety of driver and pedestrian. Recently, neurophysiological studies related to driver's mental state during driving under specific conditions have been a growing interest for development of driving assistant system based on brain-computer interface (BCI). In this article, the feasibility of online braking assistant system which could detect driver's braking intention based on BCI is investigated. The results of the online experiment verified that driver's braking intention could be robustly detected based on neurophysiological characteristics proposed by previous study. The performance of the online experiment was evaluated based on reaction times for emergency situations and detection accuracy.
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