A Brain Computer Interface for Smart Home Control
V. Devaki1, M. Suganya2
1V. Devaki*, Assistant Professor, Department of Biomedical Engineering, Vels University, Vistas, Chennai, Tamil Nadu.
2M. Suganya, Technical Engineer, Episource Pvt. Ltd. Chennai
Manuscript received on January 11, 2020. | Revised Manuscript received on January 23, 2020. | Manuscript published on February 10, 2020. | PP: 1973-1976 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1326029420/2020©BEIESP | DOI: 10.35940/ijitee.D1326.029420
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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: A new communication channel called brain computer interface (BCI) which is between the brain of human and a digital computer. Its goal is to restore movements, restoring communication, restoring environmental control for disabled people. The natural communication and control is alternated using this system. The neuromuscular channels which are the efficient pathway of our human body are bypassed by BCI’s artificial system. The varying patterns which are produced due to neural interactions results in the different states of brain. The different patterns of waves having different ranges of frequencies and amplitudes are produced by the patterns of neural interaction which is performed by using multiple neurons. These interactions with the neurons lead to the electrical discharge in smaller ranges. This project deals with brain signals which are sensed by the sensor in the head. These signals are divided into packets of data which are then will be transmitted into a wireless medium such as Bluetooth. The unit which is measuring the brain wave will receive the raw data from the sensor and it is interfaced to microcontroller. The output data from the microcontroller is sent to the operation process in home section such as modules of bulb and fan. Depending on the alpha and theta wave amplitudes, the on, off condition of home appliances is varied. This helps in the easy operation of home electrical appliances for aged people and paralyzed patients. Since smart technologies are becoming very popular in recent times, this kind of application of smart technology in home control finds very useful and helpful.
Keywords: BCI, EEG, Neural Interaction, Virtual Reality.
Scope of the Article: Neural Information Processing