Adaptive Brain Interfaces for Communication and Control

This paper describes our work on a portable non-invasive brain-computer interface (BCI), called Adaptive Brain Interfaces (ABI), that analysis online the users spontaneous electroencephalogram (EEG) signals from which a neural classifier recognizes 3 different mental states. The outputs of the classifier are used as mental commands to operate communication and control devices. Although still at a research stage, BCIs offer the possibility to augment human capabilities in a natural way and are particularly relevant as an aid for paralyzed humans.


Published in:
Proceedings of the 10th International Conference on Human-Computer Interaction
Presented at:
Proceedings of the 10th International Conference on Human-Computer Interaction
Year:
2003
Publisher:
Crete, Greece
Keywords:
Note:
Invited paper
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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