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Implementation of Brain Machine Interface using Mind wave Sensor

Manjunath R Kounte, Pratyush Tripathy, P. Pramod, Harshit Bajpai

2020Procedia Computer Science10 citationsDOIOpen Access PDF

Abstract

The most interesting thing in this world of science is to monitor human brain activity and its great potential in helping us to understand and function accordingly, which make human different from other species. Electric discharge is created when thousands of neurons interact with each other and radiate signals. Activity created by these thousands of concurrent electric discharges aggregates into waves having certain frequencies and amplitude variations, by monitoring and measuring these variations and frequencies one can predict the state of mind of an individual. This is when BMI came into picture which allow us to Establish interface between a machine and human being by capturing the particular range of frequencies from human brain generated by discharging of neurons. And study of these waves and electrical signals leads to neuroscience and neurotechnology. In this paper, we have presented the analysis of Electroencephalography and brain waves. We also highlight the interfacing of Brain and Machine using brain wave sensor.

Topics & Concepts

InterfacingBrain wavesComputer scienceElectroencephalographyBrain–computer interfaceHuman brainInterface (matter)Range (aeronautics)Brain activity and meditationBrain functionHuman–machine systemSIGNAL (programming language)Human–computer interactionNeuroscienceComputer hardwarePsychologyMaximum bubble pressure methodComposite materialProgramming languageMaterials scienceParallel computingBubbleEEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringNeural dynamics and brain function
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