Open AccessA novel framework combining BCI and IOT for the detection of activity of the brain
Author(s) -
B Karthiga,
M Rekha
Publication year - 2021
Publication title -
trends in computer science and information technology
Language(s) - English
Resource type - Journals
ISSN - 2641-3086
DOI - 10.17352/tcsit.000041
Subject(s) - brain–computer interface , computer science , interface (matter) , human–computer interaction , electroencephalography , brain activity and meditation , wearable computer , cloud computing , internet of things , neurofeedback , artificial intelligence , machine learning , embedded system , operating system , psychology , neuroscience , bubble , maximum bubble pressure method
Virtual brain research is accelerating thedevelopment of inexpensive real-time Brain Computer Interface (BCI). Hardware improvements that increase the capability of Virtual brain analyse and Brain Computer wearable sensors have made possible several new software frameworks for developers to use and create applications combining BCI and IoT. In this paper, we complete a survey on BCI in IoT from various perspectives; including Electroencephalogram (EEG) based BCI models, machine learning, and current active platforms. Based on our investigations, the main findings of this survey highlights three major development trends of BCI, which are EEG, IoT, and cloud computing. Using this it is completely useful for finding the true state of whether the brain is alive or dead. If it is alive, then the activity of the brain is monitored and stored. Through this anyone can come to conclusion that whether the action done is legal or illegal. And this has an advantage for 2 scenarios. First is for AUTISM affected people and secondly Forgery in asset documents. And if any changes in the status of the brain then it will be send to the specific person in their relation using SMS & Email id.