logo Idiap Research Institute        
 [BibTeX] [Marc21]
Asynchronous BCI and Local Neural Classifiers: An Overview of the Adaptive Brain Interface Project
Type of publication: Journal paper
Citation: millan:2003:ieee-nsre
Journal: IEEE Trans. on Neural Systems and Rehabilitation Engineering, Special Issue on Brain-Computer Interface Technology
Volume: 11
Number: 2
Year: 2003
Abstract: In this paper we give an overview of our work on an asynchronous BCI (where the subject makes self-paced decisions on when to switch from a mental task to the next) that responds every 1/2 second. A local neural classifier tries to recognize three different mental tasks, but may also respond unknown for uncertain samples as the classifier has incorporated statistical rejection criteria. We report our experience with different subjects (around 15 up to now). We also describe briefly two brain-actuated applications we have developed, namely a virtual keyboard and a mobile robot (similar to a motorized wheelchair).
Userfields: ipdmembership={learning},
Projects Idiap
Authors Millán, José del R.
Mouriño, J.
Added by: [UNK]
Total mark: 0
  • millan_2003_nsre.pdf