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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES)
Saravanan K. K.
Anna University, University College of Engineering, Thirukkuvalai
Economics, Econometrics & Finance

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Digital brain: Model-based framework for dependable electroencephalogram sensing and actuation in internet of things system R. J. Kavitha; Saravanan K. K.
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 10, No 3: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v10.i3.pp168-175

Abstract

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.
Co-Authors R. J. Kavitha