Abstract
This paper discusses machine learning methods and their application to Brain-Computer Interfacing. A particular focus is placed on linear classification methods which can be applied in the BCI context. Finally, we provide an overview of the Berlin-Brain Computer Interface (BBCI).
| Original language | English |
|---|---|
| Title of host publication | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 |
| Pages | 6715-6719 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: 2006 Aug 30 → 2006 Sep 3 |
Publication series
| Name | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
|---|---|
| ISSN (Print) | 0589-1019 |
Other
| Other | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 |
|---|---|
| Country | United States |
| City | New York, NY |
| Period | 06/8/30 → 06/9/3 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
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Cite this
Krauledat, M., Blankertz, B., Dornhege, G., Schröder, M., Curio, G., & Müller, K. R. (2006). On-line differentiation of neuroelectric activities: Algorithms and applications. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 6715-6719). [4030640] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.260929