Attention Tracking during Distracted Driving based on EEG

Driving is a skill that requires drivers to direct their full attention to control the cars. Distracted driving might lead to many catastrophic consequences. The operation of automotive electronic devices and mobile devices has been greatly augmented during driving. Some of these technological devices increase safety and reduce the drivers’ attention load. However, operating the in-vehicle systems sometimes impairs driver’s attention that is taken away from the primary driving tasks. In particular, conversing on the phone while driving is easily distracting, even with hands-free systems. Also drowsiness is becoming a severe issue in case of traffic accidents. Normally, Sleeping can be identified from several factors like eye blink level, yawning, gripping force on the wheel and so on. But all these measuring techniques will check only the physical activities of the human. In some cases, people will mentally sleep with eyes open for a few seconds. This will make very big accidents in driving. In our proposed project work we are analyzing the mental activities of brain using EEG signals based on Brain- Computer Interface (BCI) technology. Brain-computer interface (BCI), an actively progressing field in brain engineering, refers to a platform that measures the specific intent of the user and issues commands to the computer by using EEG. This kind of interface can be used on various applications.