Mechanism and Architecture of Brain-Computer Interaction

Part of an undergraduate seminar.
Sorry for the inconvenience. The presentations has a transparent background, SpeakerDeck doesn't support it yet. :(
Download as PDF to view.

Transcript

1. Mechanism and Architecture of Brain-Computer
   Interaction
   

   View Slide

2. Mechanism of BCI
   ●
   To understand BCI – understand the Human Brain.
   ●
   BCI mechanism is all about Neurology and
   Electroencephalography.
   

   View Slide

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.
   

   View Slide

4. View Slide

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.
   

   View Slide

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
   

   View Slide

7. How does it work? (Conti.)
   

   View Slide

8. Brainwaves in Action! (Demo)
   

   View Slide

9. Direct Brain Interaction
   

   View Slide

10. Direct Brain Interaction (Conti.)
    

    View Slide

11. View Slide

12. Robot Control
    

    View Slide