Uses of the campus Grid in Cybernetics Ian Daly Dr Slawomir J Nasuto Prof Kevin Warwick 17 th June 2009 What is a BCI BCIs allow control of a computer by thought alone Allows individuals with severe motor impairments greater levels of communication and environmental control ID: 358148
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Slide1
Brain Computer Interfacing
Uses of the campus Grid in Cybernetics
Ian Daly,
Dr
Slawomir
J.
Nasuto
,
Prof. Kevin Warwick
17
th
June 2009Slide2
What is a BCIBCIs allow control of a computer by thought alone.Allows individuals with severe motor impairments greater levels of communication and environmental control.
Uses:Typing programs; Email, Text to speech, Twitter etc.Environment; Lighting, TV, Wheelchair control etc.
Games; Table tennis, bio-feedback etc.Prosthetics.Slide3
Types of BCIInvasive vs. Non-invasiveControl vs. Goal orientated
P300 basedERS / ERD basedMotor imagerySlide4
How it works
Stimuli presentation
Data recording
& pre-processing
Feature extraction
Training and classification
http://ida.first.fraunhofer.de/projects/bci/competition_ii/albany_desc/albany_desc_ii.html
http://www.musicandmeaning.net/issues/showArticle.php?artID=3.5
http://www.jvrb.org/archiv/760/index_html?set_language=en&cl=enSlide5
Our ResearchMachine learning and signal processingICA, EMD, HMMs, Phase synchronisationArtefact removal
Extraction of ERPs from single trialsAutomated feature selectionModels for simulated ERP generation.
New types of BCI paradigm– speech imageryAlternative hardware developmentSlide6
How we use Grid Computing (1)Speech imagery
Template method investigated for classification of speech related EEG.Large parameter space.
Multiple parameter subsets simultaneously evaluated on Condor.Quickly able to demonstrate that template method over simplifies signal variability.Slide7
How we use Grid Computing (2)
Feature selectionEEG can be described by an infinite number of different features.Feature selection algorithms - large search space.
GA’sSwarm intelligenceNovel algorithms...
Condor allows quick traversal of the search space of possible features.Slide8
The FutureNeed for newer / faster / more intuitive BCIsFaster, more efficient control and communicationGreater ease of use
More robust and reliableNew BCI paradigms and more efficient algorithms in development.Brain signal can be described in an infinite number of different ways.
Grid computing presents an effective way of investigating some of these possibilities.Slide9
Thank you for listeningQuestions?
www.ucdmc.ucdavis.edu