This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #306620
Title: Distance-Constrained Orthogonal Latin Squares for Brain-Computer Interface
Author(s): Gang Luo*+ and Wanli Min
Companies: IBM T.J. Watson Research Center and IBM T.J. Watson Research Center
Address: 19 Skyline Drive, Hawthorne, NY, 10532, USA
Keywords: Brain-computer interface ; orthogonal Latin squares ; experimental design ; distance constraint

The P300 brain-computer interface (BCI) using electroencephalogram (EEG) signals can facilitate amyotrophic lateral sclerosis (ALS) patients to instruct computers to perform tasks. To strengthen the P300 response and increase classification accuracy, we proposed an experimental design where characters are intensified according to orthogonal Latin square pairs. These orthogonal Latin square pairs satisfy certain distance constraint so that neighboring characters are not intensified simultaneously. However, it is unknown whether such distance-constrained, orthogonal Latin square pairs actually exist. In this paper, we show that for every matrix size commonly used in P300 BCI, thousands to millions of such distance-constrained, orthogonal Latin square pairs can be systematically and efficiently constructed and are sufficient for the purpose of being used in P300 BCI.

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