Brain-Computer Interface Based Home Automation System Using Eye Blink Detection for Paralyzed People

The neural information from human brain is obtained and are interpreted to information processing system required to perform a specific function is the Brain-Computer Interface (BCI). Replacing the physical activity, conversation and surroundings control for incapacitated individuals is the final ambitious goal of a BCI. In order to manage an intelligent house application, the brain-computer interface system was connected with the computerized simulation system. It is a synthetic system that detour the body’s traditional economical passageways, that square measure the contractile organ production medium. It offers a substitute to ordinary communication and management. Distinct designs of neuronal communication derive distinct brain conditions. Waves described by distinct magnitudes and frequencies are guided by these designs. Multiple neurons are responsible for this neural interaction. Minuscule electrical discharge is created by every interaction between neurons. This paper deals with the brain neural signals. The message produced by brain was acquired by the brain detector. These messages are split up into data packets and this packet data will be conveyed to transmission channel. The wave measurement section can acquire the brain wave messages and using MATLAB GUI platform the data is converted into signal. Then the commands are going to be causing to the home segment to work the components like fan and light. This system is employed with a person brain assumption and voluntary blinking of eyes which controls the home appliance ON/OFF condition.