Brain Computer Interface Based Home Automation System

Authors

  • M. Meyyammai PG Scholar, Department of Electrical and Electronics Engineering, Easwari Engineering college, Chennai-89
  • P. Marish Kumar Associate professor, Department of Electrical and Electronics Engineering, Easwari Engineering college, Chennai-89
  • K. A. Indu Sailaja Assistant professor, Department of Electrical and Electronics Engineering, Easwari Engineering college, Chennai-89

Keywords:

Brain sense, Arduino, Home automation, Home appliances and Brain Computer Interface

Abstract

Home automation is being developed with the aid of Internet of Things (IoT) technology to control any devices by connecting them to the internet. All home appliances are able to operated with the help of IoT technology. But for someone with physical limitations, using the appliances without assistance is still a difficult undertaking. The BCI (brain controlled interface) technique enables people with physical disabilities to interact with household equipment. A brain and a machine can work together to create a form of brain-computer interface (BCI) that allows signals through the brain to operate an outside action, like moving a cursor or adjusting a prosthetic limb. It is possible to control an object directly from the brain thanks to the interface. The technology will translate the brain's messages into actions by interpreting them. With the aid of a Bluetooth module, these electrical signals are transformed into their original waveform and handled in the direction of an Arduino controller. The chip in the Arduino will continue to process the data that was received before utilizing a relay to control the appliances. The system that is suggested will be easier to build and more cost-effective.

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Published

23.02.2024

How to Cite

Meyyammai, M. ., Kumar, P. M. ., & Indu Sailaja, K. A. (2024). Brain Computer Interface Based Home Automation System. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 322–328. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4877

Issue

Vol. 12 No. 17s (2024)

Section

Research Article

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