Brainwave Based Accident Avoidance System for Drowsy Drivers

Background/Objectives: Brainwave based accident avoidance system for drowsy drivers. Methods/Statistical Analysis: Accident avoidance system is an effective way to prevent accident caused due to drowsy driving. Every year, approximately 100,000 crashes are caused by drowsy driving. These kind of crashes are most common in highways during long journeys, youth, adults with children and shift workers. Till now, there is no test to determine sleepiness. Findings: The proposed idea brain wave accident avoidance system is to avoid this kind of accident using Electroencephalography (EEG) of human brain and Cruise control in automobiles. Whenever the driver tends to drowse, obviously his brain signals will change which will trigger a set of routine on cruise control to control the automobile to avoid accidents effectively. Application/Improvements: Brain computer interface.