ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system

Author

Allison, Brendan Z. ; Pineda, Jaime A.

Author_Institution

Dept. of Cognitive Sci., California Univ., San Diego, La Jolla, CA, USA

Volume

11

Issue

2

fYear

2003

fDate

6/1/2003 12:00:00 AM

Firstpage

110

Lastpage

113

Abstract

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.

Keywords

electroencephalography; handicapped aids; medical computing; visual evoked potentials; EEG measures; P300 amplitude; brain computer interface system; commands; matrix size; messages; real-time communication system; target detection task; vocabulary; Brain computer interfaces; Cognitive science; Electroencephalography; Enterprise resource planning; Object detection; Parametric study; Real time systems; Robustness; Size measurement; Vocabulary; Adolescent; Adult; Brain; Electroencephalography; Event-Related Potentials, P300; Evoked Potentials; Evoked Potentials, Visual; Female; Humans; Male; Pattern Recognition, Visual; Photic Stimulation; User-Computer Interface; Visual Perception;

fLanguage

English

Journal_Title

Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Publisher

ieee

ISSN

1534-4320

Type

jour

DOI

10.1109/TNSRE.2003.814448

Filename

1214695