Abstract
We present three datasets that were used to conduct an open competition for evaluating the performance of various machine-learning algorithms used in brain-computer interfaces. The datasets were collected for tasks that included: 1) detecting explicit left/right (L/R) button press; 2) predicting imagined L/R button press; and 3) vertical cursor control. A total of ten entries were submitted to the competition, with winning results reported for two of the three datasets.
Original language | English |
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Pages (from-to) | 184-185 |
Number of pages | 2 |
Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Volume | 11 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2003 Jun |
Externally published | Yes |
Keywords
- Brain computer interface (BCI)
- Data analysis competition
- Electroencephalography (EEG)
- Machine learning
ASJC Scopus subject areas
- Internal Medicine
- Neuroscience(all)
- Biomedical Engineering