EEG-based communication: a pattern recognition approach.
We present an overview of our research into brain-computer interfacing (BCI). This comprises an offline study of the effect of motor imagery on EEG and an online study that uses pattern classifiers incorporating parameter uncertainty and temporal information to discriminate between different cognitive tasks in real-time.
Penny
W D
WD
Department of Engineering Science, Medical Engineering, Oxford University, UK. wpenny@robots.ox.ac.uk
Roberts
S J
SJ
Curran
E A
EA
Stokes
M J
MJ
D003143:Communication Devices for People with Disabilities; D004569:Electroencephalography / Q000295:instrumentation*; D005071:Evoked Potentials / Q000502:physiology; D005583:Fourier Analysis; D006801:Humans; D007092:Imagination / Q000502:physiology; D009044:Motor Cortex / Q000503:physiopathology*; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013003:Somatosensory Cortex / Q000503:physiopathology*; D014584:User-Computer Interface