Referenced Items are not available for this document.
A brain-computer interface (BCI) system may allow a user to communicate by selecting one of many options. These options may be presented in a matrix. Larger matrices allow a larger vocabulary, but require more time for each selection. In this study, subjects were asked to perform a target detection task using matrices appropriate for a BCI. The study sought to explore the relationship between matrix size and EEG measures, target detection accuracy, and user preferences. Results indicated that larger matrices evoked a larger P300 amplitude, and that matrix size did not significantly affect performance or preferences.
Published in:
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
(Volume:11
,
Issue:
2
)
Date of Publication: June 2003
- Page(s):
- 110 - 113
- ISSN :
- 1534-4320
- INSPEC Accession Number:
- 7705681
- Digital Object Identifier :
- 10.1109/TNSRE.2003.814448
- Date of Current Version :
- 28 July 2003
- Issue Date :
- June 2003
- Sponsored by :
- IEEE Engineering in Medicine and Biology Society
- PubMed ID :
- 12899248
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