Proceedings of the Annual Meeting of the Cognitive Science Society

Introduction: Controlling Automobiles during unconsciousness of the driver using Brainwaves. Brainwave based accidentavoidance system is an effective way to prevent accident caused due to drowsy driving. Every year number of roadmishaps are caused by drowsy driving. The proposed idea brainwave based accident avoidance system is to avoid this kindof accident using Electroencephalography (EEG) of human brain and speed control in automobiles. Human brain consistsof millions of interconnected neurons. The patterns of interaction between these neurons are represented as thoughts andemotional states. According to the human thoughts, this pattern will be changing which in turn produce different electricalwaves. A muscle contraction will also generate a unique electrical signal. All these electrical waves will be sensed bythe brain wave sensor and it will convert the data into packets and transmit through Bluetooth medium. Level analyzerunit (LAU) will receive the brainwave raw data and it will extract and process the signal using MATLAB platform. Thenthe control commands will be transmitted to the motor to process. With this entire system, we can control / stop thevehicle according to human thoughts. Electroencephalography (EEG) is the fundamental idea utilized as a part of thisframework. Neurosky mind wave sensor is utilized as primitive segment to examine the Brainwave signals. In this wayby controlling vehicles it can spare numerous mishaps and can spare numerous lives. Among these bands, theta and alphaare the signals which represent drowsiness to relaxed sleep. Methods: In a brain controlled vehicle, controller is based onBrain Computer Interface (BCI). BCIs are systems that can bypass conventional channels of communication to providedirect communication and control between the human brain and physical devices by translating different patterns of brainactivity into commands in real time. With these commands a vehicle can be controlled. The intention of this work isto design and develop a system that can assist the person during their unhealthy condition to avoid the accident on theroad. Results: Brainwave based accident avoidance system for unhealthy condition of the drivers which predict the signalsand system in engaging with processing of signals to alert the drivers unconscious situation. The biggest challenge aboutthe system is that to determine the signal from the headset. Proper identification is needed for the signals so that wrongsignal does not trigger the routine even when driver is not unconscious. Every person is different and every person hasdifferent thoughts and emotions so they might have slightly different brainwave signals. So before adapting this system,the interface should be configured according to the brain activity of the driver. Discussion: The research and developmentof brainwave controlled vehicle during unconsciousness of the driver has received a great deal of attention because theycan help to avoid the accident on the road. Improving the BCI system performance to make brainwave controlled vehiclesusable in real-world situations. Keywords: Brain Computer Interface (BCI), Brain Wave Sensor, EEG, Bluetooth