Computational Approach to guide Mind Controlled Robotic Arm using BCI – A Review

Abstract

This paper reports a review of computational approach to guide mind controlled robotic arm using Brain Computer Interface (BCI). BCI controlled robotic arm provides an individual to use brain signals, Electroencephalogram (EEG) or Electrooculogram (EOG) for their physical activity. For assisting physically challenged people robotic arm can be a major rehabilitation device, which consists of five stages, such as Data acquisition, signal preprocessing, feature extraction, classification and interfacing robotic arm. This method is clinically important since it paves a way for making a fully dependent patient into a partially dependent person, which in turn supports their mental health and stability.