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Mechanism and Architecture of Brain-Computer Interaction

January 21, 2016

Mechanism and Architecture of Brain-Computer Interaction

Part of an undergraduate seminar.
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January 21, 2016

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  1. Mechanism of BCI • To understand BCI – understand the

    Human Brain. • BCI mechanism is all about Neurology and Electroencephalography.
  2. 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.
  3. 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.
  4. 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