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A Virtual Cloud Based Brain Connectivity Analysis Using IoT

EasyChair Preprint no. 3862

5 pagesDate: July 13, 2020


Virtual cerebrum look is quickening the advancement of modest continuous Brain Computer Interface (BCI). Equipment enhancements that expansion the capacity of Virtual mind examine and Brain Computer wearable sensors have made conceivable a few new programming systems for designers to utilize and make applications joining BCI ( Brain computer interface) and IoT (Internet of Things).Right now, complete study on BCI in IoT from different points of view; including Electroencephalogram (EEG) based BCI models, and current dynamic stages. In view of examinations, the principle discoveries of this overview features three significant advancement patterns of BCI, which are EEG, IoT, and distributed computing. In this project, the main aim is to upload secure and confidential documents onto the cloud. Virtual cerebrum undertaking will scan for bits of knowledge into how individuals think and recall. Using this EEG (Electroencephalogram) sensor can easily find the true state of the brain. I.e.  whether the brain is alive or not. In the event that it is alive, at that point the activity of the cerebrum is checked and put away. Through this anyone can reach resolution that whether the action done is lawful or illicit. After the death of the brain, the secured and confidential documents data which stored in the cloud can automatically send to the registered user’s mail I’d and phone number

Keyphrases: BCI, Electroencephalogram, Microcontroller

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {V. Padmini and R. Sowmiya},
  title = {A Virtual Cloud Based Brain Connectivity Analysis Using IoT},
  howpublished = {EasyChair Preprint no. 3862},

  year = {EasyChair, 2020}}
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