Brain Computer Interfacing
The brain-computer interface lab offers extensive facilities for online detection of brain states in real time, mainly from EEG. A spectrum of headsets and amplifiers is available from high density active scientific systems down to consumer grade dry systems with few electrodes.
Expertise and software is available for detection and classification of selective attention, intended or attempted movement, semantic relatedness, auditory speech categories etc. The lab supports a multitude of ways to generate stimuli in the visual, auditory or tactile modality and appropriate feedback in those modalities. The application of online Machine Learning methods (in Matlab) makes an especially powerful combination with the EEG signal processing. A main focus of the lab is on innovative kinds of BCI for assistive technology for communication, targeted at ALS patients. However,the method to detect selective attention by noise tags is applicable in a much wider context, as is the work on the use of BCI in spaceflight, second language acquisition, movement trajectories and stroke rehabilitation.
Contact:
prof. Peter Desain
More information about this facility can be found on the DondersBCI website or visit the DondersBCI Youtube channel.