Digital brain: Model-based framework for dependable electroencephalogram sensing and actuation in internet of things system

R. J. Kavitha, Saravanan K. K.


Real-time brain internet of thing (IoT) frameworks are expensive. But, creating a cheaper framework has been quickened incredibly by the superior investigation that's being done on virtual brain. The passing of an imperative individual on a mystery mission is considered delicate data and must be taken care of with as much security as conceivable. By guaranteeing this discreteness, the time taken for the message of their passing to reach the pertinent specialist is expanded to up to a few days. The time taken to provide the message is as well. These days, the advancements in equipment expanding the capacities of the virtual brain and of the wearable brain IoT sensors have made the advancement of various unused program systems conceivable for engineers to make valuable applications that combine the human brain with IoT. Different tactile pathways are too empowered for communications of the human brain with bigger measured data. The fundamental point of this extend is to transfer secret records onto the clouds safely.


Brain computer interface; Electroencephalogram; Human brain; Internet of things; Microcontroller; Virtual brain

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International Journal of Reconfigurable and Embedded Systems (IJRES)
p-ISSN 2089-4864, e-ISSN 2722-2608
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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