JOURNAL ARTICLE

Improvement Of Performance Of Japanese P300 Speller By Using Second Display

Yuya YamamotoTomohiro YoshikawaTakeshi Furuhashi

Year: 2015 Journal:   Journal of Artificial Intelligence and Soft Computing Research Vol: 5 (3)Pages: 221-226   Publisher: Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology

Abstract

Abstract Brain computer interface (BCI) is a system allows a user to control external devices or to communicate with other people using only his or her thoughts. The P300 speller is one such BCI in which users input letters. For inputting letters via the P300 speller, higher accuracy and shorter input times are needed, especially given densely populated display screens. We propose a new interface with a second display in the P300 speller that the user can switch to and from by selecting the “next” or “back” commands, therby reducing the density of displayed letters and improving the performance of the P300 speller. We show the comparison results in terms of accuracy and input times between the conventional interface and proposed interface.

Keywords:
Brain–computer interface Interface (matter) Computer science Speech recognition Human–computer interaction Computer hardware Electroencephalography Psychology Neuroscience

Metrics

11
Cited By
1.15
FWCI (Field Weighted Citation Impact)
7
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
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