EEG Controlled Exoskeleton

Abstract

A physically paralyzed person is doomed to stay on a chair or the bed making him completely at mercy of a helper. To help these patients this device uses a Brain Computer Interface (BCI). A brain-computer interface (BCI) is a computer-based system that acquires brain signals, analyses them, and translates them into commands that are relayed to an output device to carry out a desired action. In principle, any type of brain signal could be used to control a BCI system. This device is an Exoskeleton made of steel/iron that will be attached the Patient who is Physically Paralyzed. An exoskeleton is the external skeleton that supports and protects an animal s body, in contrast to the internal skeleton (endoskeleton) of, for example, a human. It will give support to the Patient while standing up so that he/she doesn’t fall down. The Brainwaves being read by the EEG will be fed to a neural networking model coded using Google’s Tensor Flow which will create a model with a high enough accuracy to understand the intentions of the patient i.e. whether to stand up or not and the direction of movement. The Real-time data will be given to the existing model and the motors of the exoskeleton will move accordingly. Keywords— EEG-Electroencephalogram, NLPNatural Language Processing, MLFMulti Layered Feed Forward Network Neural, NNNeural Networking, KAFOKnee Ankle Foot Orthoses, PDE – Partial Differential Equation.