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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 and Architecture of Brain-Computer

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  2. Mechanism of BCI

    To understand BCI – understand the Human Brain.

    BCI mechanism is all about Neurology and

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  3. 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.

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  5. 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.

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  6. 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

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  7. How does it work? (Conti.)

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  8. Brainwaves in Action! (Demo)

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  9. Direct Brain Interaction

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  10. Direct Brain Interaction (Conti.)

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  12. Robot Control

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