The BCI competition III: validating alternative approaches to actual BCI problems
University of Potsdam · New York State Department of Health · +7 more institutions
Abstract
A brain-computer interface (BCI) is a system that allows its users to control external devices with brain activity. Although the proof-of-concept was given decades ago, the reliable translation of user intent into device control commands is still a major challenge. Success requires the effective interaction of two adaptive controllers: the user's brain, which produces brain activity that encodes intent, and the BCI system, which translates that activity into device control commands. In order to facilitate this interaction, many laboratories are exploring a variety of signal analysis techniques to improve the adaptation of the BCI system to the user. In the literature, many machine learning and pattern…
Citation impact
- FWCI
- 11.49
- Percentile
- 100%
- References
- 29
Authors
10- BBBenjamin BlankertzCorresponding
- KMK. Müller
University of Potsdam
- DJDean J. Krusienski
New York State Department of Health, Wadsworth Center
- GSGerwin Schalk
Wadsworth Center, New York State Department of Health
- JRJonathan R. Wolpaw
University at Albany, State University of New York, New York State Department of Health, Wadsworth Center, Albany State University
Topics & keywords
- Brain–computer interface
- Computer science
- Interface (matter)
- Human–computer interaction
- Adaptation (eye)
- Motor imagery
- Artificial intelligence
- Machine learning