Home Automation using Brain Computer Interface for the Physically Challenged
Sarada Devi Yaddanapudi1, K Sneha2, S Sai Kamal Teja3

1Sarada Devi Yaddanapudi*, Department of ECE, VRSEC, Vijayawada, India.
2K Sneha, Department of ECE, VRSEC, Vijayawada, India.
3S Sai Kamal Teja, Department of ECE, VRSEC, Vijayawada, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 5018-5021 | Volume-9 Issue-1, October 2019 | Retrieval Number: A3002109119/2019©BEIESP | DOI: 10.35940/ijeat.A3002.109119
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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 Brain-Computer Interface (BCI)is labeledas Mind-Machine Interface (MMI) or a Brain-Machine Interface (BMI). It affords a non-muscular channel of messagein between the computer and a human brain. Using the enhancements in interface equipment to electronics,and the necessity to helpindividuals suffering from disabilities, a new area in this study has begun by acceptingtasks of brain. The Electro-Encephalogram (EEG) is an electrical activity created by brain structures and verified from the scalp using electrodes. The EEG signal is used in actualspell to accomplishperipheral devices using a broad BCI system. The post-processed output signals are converted to suitable instructions to regulate output devices. The main seek is to aidparalyzed and physically immobilizedpersons to govern the home appliances making use of Electro-Encephalogram (EEG) signals, such that they grow to beautonomous. According to the brain responsiveness the devices can be designated then usingrelays, the switching of the home-basedmachinescan be complete dconsequently.
Keywords: Physically Challenged, Home Automation, Brain Computer Interface, EEG.