Brain-computer interaction research at the Computer Vision and Multimedia Laboratory, University of Geneva.
This paper describes the work being conducted in the domain of brain-computer interaction (BCI) at the Multimodal Interaction Group, Computer Vision and Multimedia Laboratory, University of Geneva, Geneva, Switzerland. The application focus of this work is on multimodal interaction rather than on rehabilitation, that is how to augment classical interaction by means of physiological measurements. Three main research topics are addressed. The first one concerns the more general problem of brain source activity recognition from EEGs. In contrast with classical deterministic approaches, we studied iterative robust stochastic based reconstruction procedures modeling source and noise statistics, to overcome known limitations of current techniques. We also developed procedures for optimal electroencephalogram (EEG) sensor system design in terms of placement and number of electrodes. The second topic is the study of BCI protocols and performance from an information-theoretic point of view. Various information rate measurements have been compared for assessing BCI abilities. The third research topic concerns the use of EEG and other physiological signals for assessing a user's emotional status.
Pun
Thierry
T
Computer Vision and Multimedia Laboratory, Computer Science Department, University of Geneva, CH-1211 Geneva, Switzerland. thierry.pun@cui.unige.ch
Alecu
Teodor Iulian
TI
Chanel
Guillaume
G
Kronegg
Julien
J
Voloshynovskiy
Sviatoslav
S
D000818:Animals; D001185:Artificial Intelligence; D001921:Brain / Q000503:physiopathology*; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials; D006801:Humans; D019212:Multimedia; D009468:Neuromuscular Diseases / Q000503:physiopathology* / Q000534:rehabilitation*; D012107:Research Design; D013557:Switzerland; D013813:Therapy, Computer-Assisted / Q000379:methods; D014495:Universities; D014584:User-Computer Interface