Brain Computer Interface for Controlling Mobile Robot
Hareendar S1, Jeya Raghul R2, Aashish Kumaravelan3
1Hareendar S, Department of ECE, SRM Institute of Science and Technology, Kancheepuram (Tamil Nadu), India.
2Jeya Raghul R, Department of ECE, SRM Institute of Science and Technology, Kancheepuram (Tamil Nadu), India.
3Aashish Kumaravelan, Department of ECE, SRM Institute of Science and Technology, Kancheepuram (Tamil Nadu), India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 27 August 2019 | PP: 152-156 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B10270782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1027.0782S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This Paper describes a brainwave controlled mobile robot based on brain computer interface (bci). This uses Matlab to analyze the brainwaves. Bci bypass the communication path between brain and computer to establish a communication system in which the data flows directly from brain to physical devices. Bci consists of software and hardware components that allow brain inputs to be translated as controls for machine. The different brain patterns are translated into different machine commands. These obtained commands are used to control the mobile robot. This technology is widely used in neuro-prosthetic devices, which helps people in achieving or improving their capability. . Our intention in this paper is to develop a smart wheelchair which will help disabled people in their mobility. The Bci consists of Neurosky brainwave headset which is connected to computer for extracting the data and to process real time commands, which is then used to control the module.
Keywords: Brain Computer Interface (Bci), Neurosky, Matlab.
Scope of the Article: Computer Network