A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces

被引：92

作者：

Sajda, P ^{[1
]}

Gerson, A

Müller, KR

Blankertz, B

Parra, L

机构：

[1] Columbia Univ, Dept Biomed Engn, New York, NY 10027 USA

[2] Fraunhofer FIRST, D-12489 Berlin, Germany

[3] Sarnoff Corp, Princeton, NJ 08540 USA

来源：

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2003年 / 11卷 / 02期

关键词：

brain computer interface (BCI); data analysis competition; electroencephalography (EEG); machine learning;

D O I：

10.1109/TNSRE.2003.814453

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：184 / 185

页数：2

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