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Mechanism and Architecture of Brain-Computer Interaction

C4b8cba6ffda3f70cdf962d52026fb8c?s=47 Sricharan
January 21, 2016

Mechanism and Architecture of Brain-Computer Interaction

Part of an undergraduate seminar.
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January 21, 2016


  1. Mechanism and Architecture of Brain-Computer Interaction

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

    Human Brain. • BCI mechanism is all about Neurology and Electroencephalography.
  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.
  4. None
  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.
  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
  7. How does it work? (Conti.)

  8. Brainwaves in Action! (Demo)

  9. Direct Brain Interaction

  10. Direct Brain Interaction (Conti.)

  11. None
  12. Robot Control