EEG - Controlled Wheelchair Movement: Using Wireless Network
Received Date: Mar 02, 2018 / Accepted Date: Mar 20, 2018 / Published Date: Mar 27, 2018
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.
Select your language of interest to view the total content in your interested language
Share This Article
- Total views: 735
- [From(publication date): 0-2018 - Aug 17, 2018]
- Breakdown by view type
- HTML page views: 656
- PDF downloads: 79