Paper Title
EEG Based Home Appliance Control For Providing Guidance To Paralyzed Person
Abstract
This paper proposes a method for the brain computer interfacing for EEG based brain controlled wheelchair for
severely disabled people in their daily life. In this paper, we provide the basic techniques for interfacing the brain to the
external environment such as controlling home appliances, extracting information about surroundings through voice
playback system and movement of wheelchair as desired by the disabled person sitting on the wheelchair. We will first
review and classify the waves which are encountered during EEG. Since EEG is the reflection of brain activity and is widely
used in clinical diagnosis and biomedical research, it is used as the main signal. The proposed system integrates EEG
headset, microcontroller, laptop, accelerometers, and the wheelchair. Neural signals are obtained from human brain using
wireless EEG headset and are processed through real time data acquisition in MATLAB. The wheelchair consists of
microcontroller, to execute the command, accelerometer, voice play back system, and RFID card reader.