Automation and Autonomous Systems

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Advance Integrated System for Controlling Devices Using Brain Waves


Affiliations
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, India
     

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The proposed system is fully functional product with practice of BCI (Brain Controlled Interface). The ambitious goal of the system is to help controlling the muscular action for handicapped people. The BCI is simply a Breakthrough from conventional channels of interaction which are muscles and thoughts, which results in communication and control between the human brain and physical devices, with the use of different kind of waves emitted by brain called as brain wave. A proper control over these waves can pursue a controlling channel which will help these device to work correctly. The brain wave patterns will be categorized and evaluated accordingly to generate a unique set of pattern which will provide functionality to each action of the system. All the electrical pulses will be sensed by the EEG sensor and then it will convert this raw format into packets and communicate with Bluetooth for transmission. The brain wave raw data will be extracted and processed using Arduino Microcontroller. The interfaces are created on MatLab that will change the module according to client’s needs.

Keywords

BCI (Brain Controlled Interface), BrainWave, Arduino Microcontroller, EEG Sensor.
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Abstract Views: 331

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  • Advance Integrated System for Controlling Devices Using Brain Waves

Abstract Views: 331  |  PDF Views: 1

Authors

Sanket Lawande
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, India
Sourav Kumar
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, India
Vedant Patil
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, India
Aditya Patil
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, India
Anita Mahajan
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering and Technology, Lohegaon, Pune, India

Abstract


The proposed system is fully functional product with practice of BCI (Brain Controlled Interface). The ambitious goal of the system is to help controlling the muscular action for handicapped people. The BCI is simply a Breakthrough from conventional channels of interaction which are muscles and thoughts, which results in communication and control between the human brain and physical devices, with the use of different kind of waves emitted by brain called as brain wave. A proper control over these waves can pursue a controlling channel which will help these device to work correctly. The brain wave patterns will be categorized and evaluated accordingly to generate a unique set of pattern which will provide functionality to each action of the system. All the electrical pulses will be sensed by the EEG sensor and then it will convert this raw format into packets and communicate with Bluetooth for transmission. The brain wave raw data will be extracted and processed using Arduino Microcontroller. The interfaces are created on MatLab that will change the module according to client’s needs.

Keywords


BCI (Brain Controlled Interface), BrainWave, Arduino Microcontroller, EEG Sensor.

References





DOI: https://doi.org/10.36039/ciitaas%2F11%2F1%2F2019%2F180350.17-22