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

Paul Sajda; Adam Gerson; Klaus Robert Müller; Benjamin Blankertz; Lucas Parra

doi:10.1109/TNSRE.2003.814453

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

Paul Sajda, Adam Gerson, Klaus Robert Müller, Benjamin Blankertz, Lucas Parra

Research output: Contribution to journal › Article › peer-review

84 Citations (Scopus)

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
Pages (from-to)	184-185
Number of pages	2
Journal	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume	11
Issue number	2
DOIs	https://doi.org/10.1109/TNSRE.2003.814453
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

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