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Enhancing Physical Activity based on BCI for Physically Disabled
P. Kingston Stanley1, P. Vijay Daniel2, J. Samson Isaac3, A. Sanjeevi Gandhi4

1P. Kingston Stanley, Karunya Institute of Technology and Sciences, (TamilNadu), India.

2P. Vijay Daniel, Karunya Institute of Technology and Sciences, (TamilNadu), India.

3J. Samson Isaac, Karunya Institute of Technology and Sciences, Coimbatore (TamilNadu), India.

4A. Sanjeevi Gandhi, Karpagam college of Engineering, India.

Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 19 June 2019 | PP: 570-574 | Volume-8 Issue-8S June 2019 | Retrieval Number: H10960688S19/19©BEIESP

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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: Elderly and disabled people needs proper care at a right time in order to improve their quality of their life. It is appropriate for them to use a mechanical wheel chair but difficult to use by these people. To provide an easy movement, the designing of intelligent wheel chair is required. Using Brain Computer Interface(BCI), brain wave control wheel chair is controlled directly by the brain. The direct communication between brain and wheel chair is enabled by Brain Computer Interface (BCI). The mobility of these persons can be enhanced by using the Electroencephalogram (EEG) signal based movement of the wheel chair. Mindflex P2369 headset is used for capturing the EEG signal. EEG signal is transmitted by headset wirelessly via Bluetooth. Based on the EEG concentration, the direction of wheel chair can be determined using signal processing techniques. Atmega 328 microcontroller is programmed to act as BCI controller. Depending on the brain concentration values, the control commands will be transmitted and based on the human thoughts, the wheel chair will be moved.

Keywords: Electroencephalogram (EEG), Brain Computer Interface (BCI), Bluetooth, Lab VIEW and Microcontroller.
Scope of the Article: IoT Application and Communication Protocol