Automobile Drivers Distraction Avoiding System Using Galvanic Skin Responses

In this paper we are proposing a system which plays an important role to avoid distractions while driving. To achieve this goal, we are using galvanic skin responses also called as GSR along with EEG signals are used to calculate the cognitive abilities of the driver while driving during day and night times. Driving is an activity which needs a lot of attention. Also, it is continuous process of attentiveness if anything wrong goes then it may cause or lead to the death of the driver. Our main objective of the proposed system is to reduce the number of accidents caused due to distractions faced by the drivers while in driving. Although many methods or devices are available in the market to detect the distraction activities, they all are based on the techniques in which the camera is involved. The disadvantages of this techniques are that they predict or alerts the distractions lately or while the distraction is going on. So, these techniques are proven to be very dangerous to the drivers because of their latency. Since in this system distractions are detected using EEG signals which are very effective cause it gives us the signals from the brain which plays an important role in the task of driving. By using this signal, we can effectively reduce the distractions while driving and also, we can reduce number of accidents occurring during night times. Also it gives us the accurate distraction signals before the actual accident occur.