Mechanism and Architecture of Brain-Computer Interaction
Part of an undergraduate seminar.
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Architecture of Brain – The Neurons ● Huge count of them (80-200 billion) connected with a high degree of connectivity (100-500 trillion). ● Every Neuron has a potential (in mV) that varies with our thought. This potential is the means of communication between Neurons. ● Clusters – Depending upon the application and design topography for ease of analysis.
Electroencephalography (EEG) ● EEG is a measure of brain waves. ● Measures voltage fluctuations resulting from ionic current within the neurons of the brain. ● Used to evaluate brain disorders, results of brain seizures and coma e.t.c. Can now be used in BCI.
How does it work? ● Thinking in Brain ● Reading Brain by EEG ● Analysis of EEG spectrum (Cluster-to-pattern mapping) ● Recognizing EEG spectrum ● Converting into suitable computer signal ● Sending the signals to computer system ● Feedback to User