alexa EEG - Controlled Wheelchair Movement: Using Wireless Network | OMICS International| Abstract

ISSN: 2155-6210

Journal of Biosensors & Bioelectronics

  • Research Article   
  • J Biosens Bioelectron 2018, Vol 9(1): 252
  • DOI: 10.4172/2155-6210.1000252

EEG - Controlled Wheelchair Movement: Using Wireless Network

Pranob Kumar Charles, Murali Krishna*, Praneeth Kumar GV and Lakshmi Prasad D
Electronics and Communication Department, Andhra Loyola Institute of Engineering and Technology, JNTUK, Vijayawada, Andhra Pradesh, India
*Corresponding Author : Murali Krishna, Electronics and Communication Department, Andhra Loyola Institute of Engineering and Technology, JNTUK, Vijayawada, Andhra Pradesh, India, Tel: 0866 249 8978, Email: [email protected]

Received Date: Mar 02, 2018 / Accepted Date: Mar 20, 2018 / Published Date: Mar 27, 2018

Abstract

This project discusses about a brain controlled wheel chair based on Brain–computer interfaces (BCI). BCI’s are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. The intention of the project work is to develop a robot that can assist the disabled people in their daily life to do some work independent of others. Here, we analyze the brain wave signals. Human brain consists of millions of interconnected neurons, the pattern of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also be generate a unique electrical signal. All this electrical waves will be sensed by the brain wave sensor it will convert the data into packets and transmit through Bluetooth medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using MATLAB platform. Then the control commands will be transmitted to the robot module to process. With this entire system, we can move a robot according to the human thoughts and it can be turned by blink muscle contraction.

Keywords: Brain-computer interfaces (BCI); Level analyzer unit (LAU); Blink muscle contraction

Citation: Charles PK, Krishna M, Kumar GVP, Prasad DL (2018) EEG - Controlled Wheelchair Movement: Using Wireless Network. J Biosens Bioelectron 9: 252. Doi: 10.4172/2155-6210.1000252

Copyright: © 2018 Charles PK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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