Mechanism and Architecture of Brain-Computer Interaction

Part of an undergraduate seminar.
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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.
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.)
12. Robot Control