Tracking of EEG-Based Attention during Distracted Driving

Driving may be a skill that needs drivers to direct their full attention to regulate the cars. Distracted driving might cause many catastrophic consequences. The operation of automotive electronic devices and mobile devices has been greatly augmented during driving. A number of these technological devices increase safety and reduce the drivers attention load. However, operating the in-vehicle systems sometimes impairs drivers attention that is removed from the first driving tasks. Especially, conversing on the phone while driving is definitely distracting, even with hands-free systems. Also drowsiness is becoming a severe issue just in case of traffic accidents. Normally, Sleeping are often identified from several factors like eye blink level, yawning, gripping force on the wheel then on. But of these measuring techniques will check only the physical activities of the human. In some cases, people will mentally sleep with eyes open for a couple of seconds. This may make very big accidents in driving. In our proposed project work we are analyzing the mental activities of brain using EEG signals supported Brain- Computer Interface (BCI) technology. Brain-computer interface (BCI), an actively progressing field in brain engineering, refers to a platform that measures the precise intent of the user and issues commands to the computer by using EEG. This type of interface are often used on various applications.