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

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 11; no. 2; pp. 110 - 113
• Main Authors: Allison, B.Z., Pineda, J.A.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2003; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adolescent; Adult; Brain - physiology; Brain computer interfaces; Cognitive science; Electroencephalography; Electroencephalography - methods; Enterprise resource planning; Event-Related Potentials, P300 - physiology; Evoked Potentials - physiology; Evoked Potentials, Visual - physiology; Female; Humans; Male; Object detection; Parametric study; Pattern Recognition, Visual - physiology; Photic Stimulation - methods; Real time systems; Robustness; Size measurement; User-Computer Interface; Visual Perception - physiology; Vocabulary
• ISSN: 1534-4320; 1558-0210
• DOI: 10.1109/TNSRE.2003.814448

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.