Open AccessHome Automation using Brain Computer Interface for the Physically Challenged
Author(s) -
Sarada Devi Yaddanapudi,
K Sneha,
Srirangam Sai Teja
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a3002.109119
Subject(s) - brain–computer interface , interface (matter) , electroencephalography , computer science , brain activity and meditation , human–computer interaction , computer hardware , channel (broadcasting) , automation , neuroscience , psychology , engineering , telecommunications , operating system , mechanical engineering , bubble , maximum bubble pressure method
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 completedconsequently.