1,2,3,4,5,6,7School of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai-600119, Tamilnadu, India
corresponding author email: megalanleo@gmail.com
Article Publishing History
Received: 09/10/2020
Accepted After Revision: 27/12/2020
Many people around the world suffer by mobility disorders, and most of them rely on power wheelchairs to move around them. However, most patients are not advised to use power wheelchairs because it requires more power and complex interface. In this paper, a Brain Computer Interface application is developed to operate on receiving EEG signals from the brain. Brainwaves are used to control the wheel chair operation in real time. It helps physically challenged people to live a self-supported life. Brain computer interfaces are the systems that read brain wave signals from the human mind and pass it to the physical device with the help of Arduino processor. The signals from the brainwave sensor are processed using Matlab processing. Automation modules can be managed using the brain control interface system. Proposed technique assists and enhances the lifestyle of the disabled people. The goal of the brain-computer interface is to develop a fast and reliable communication between the brain waves of the disabled people and the personal computer.
Brain Computer Interface (Bci), Eeg Signals, Mobility Disorders, Brain Wave Communication.