MLSP competition, 2010: Description of second place method


İŞCAN Z.

2010 IEEE 20th International Workshop on Machine Learning for Signal Processing, MLSP 2010, Kittila, Finland, 29 August - 01 September 2010, pp.114-115 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/mlsp.2010.5589246
  • City: Kittila
  • Country: Finland
  • Page Numbers: pp.114-115
  • Keywords: BCI, P300, PCA, T-statistic
  • Istanbul Medipol University Affiliated: No

Abstract

In this paper, the classification method which generated the second highest AUC (the area under the ROC curve) in the MLSP 2010 Competition is presented. After application of some pre-processing steps to the dataset, by using statistical information, proper weights are found which maximize the separability between the P300 and the non-P300 responses. The classification method is simple and very suitable for online brain-computer interface (BCI) applications due to its fast algorithm. ©2010 IEEE.