Advancement of BCI in Robotic Wheelchair

Abstract

There are various signals utilized for brain system using electrodes, signal characteristics extraction, Electrocephalography
[EEG], Noise reduction and classification of signal whereas Brain Computer Interface [BCI] is beneficial for controlling
the robotic arms. A steady flow of brain signal can be accomplished using hardware namely Emotive EPOC. Therefore,
this investigation gets managed by artifacts for brain signal to identify the prompt of noise present in the output of signal
classification. Thus the robust controlling has been obtained with EEG sensor as a prototype which utilized for monitoring
the function of brain and signal is tend to the Arduino controller.