@article{d91a168d38b0457ebdb7fd023b7a2404,
title = "A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces",
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.",
keywords = "Brain computer interface (BCI), Data analysis competition, Electroencephalography (EEG), Machine learning",
author = "Paul Sajda and Adam Gerson and M{\"u}ller, {Klaus Robert} and Benjamin Blankertz and Lucas Parra",
note = "Funding Information: Manuscript received August 16, 2002; revised April 29, 2003. This work was supported by the Defense Advanced Research Projects Agency (DARPA). P. Sajda and A. Gerson are with the Department of Biomedical Engineering, Columbia University, New York, NY 10027 USA (e-mail:sajda@columbia.edu; adg71@columbia.edu). K.-R. M{\"u}ller and B. Blankertz are with Fraunhofer FIRST, D-12489 Berlin, Germany (e-mail: klaus@first.fraunhofer.de, blanker@first.fraunhofer.de). L. Parra is with Sarnoff Corporation, Princeton, NJ 08540 USA (e-mail: lparra@sarnoff.com). Digital Object Identifier 10.1109/TNSRE.2003.814453",
year = "2003",
month = jun,
doi = "10.1109/TNSRE.2003.814453",
language = "English",
volume = "11",
pages = "184--185",
journal = "IEEE Transactions on Neural Systems and Rehabilitation Engineering",
issn = "1534-4320",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",
}