Patient Assistant Bot

Abstract

Electroencephalography (EEG) is an electrophysiological monitoring method to record the brain's spontaneous electrical activity over a period of time through multiple electrodes placed on the scalp. Along with a number of clinical uses EEG can be used to make Brain Computer Interfaces (BCI). A BCI is a communication system that uses only brain activity to control an external device without execution of any peripheral muscular activity. Eye tracking is the process of measuring the motion of an eye relative to the head. Eye tracking devices can be used for Human Computer Interaction. In this project, we employ a dynamic state called motor imagery and eye tracking to control a robot. Motor imagery (MI) is mental stimulation of a motor act such as movement of left hand or movement of right hand, without physically executing it. This is particularly useful as it can be used to determine the intent of a paralyzed patient. Despite the constant improvement in EEG data acquisition and classification algorithms, the achievable accuracy and the number of functions that could be extracted is still limited. BCI also require necessary preparation procedures. Eye tracking systems, being easier to use, are very expensive and usually uncomfortable to use, as they may require the user to wear heavy glasses and may lose focus when the users move their head. This projects attempts to find an effective way for a user to control a system by only giving inputs through a BCI and eye tracking.