An assistive communication brain-computer interface for Chinese text input

James W. Minett, Gang Peng, Lin Zhou, Hong Ying Zheng, William Shi Yuan Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

The performance of assistive communication brain-computer interfaces has been studied mostly for languages with alphabetic script. The viability of using such systems for languages with other types of script, such as Chinese, which has a logographic script, is currently poorly understood. Here, a performance analysis of the P300 Speller is presented for Chinese text input The performance of six distinct paradigms, based on the established Row/Column (RC) and Single Character (SC) spellers, are tested and compared for 30 able-bodied, native Chinese readers. In terms of accuracy per trial, the optimal paradigm is based on the SC speller: 63.3% of participants were able to achieve 80% or better classification accuracy for 15 trials. However, because the RC speller has shorter trial duration than the SC speller, the optimal paradigm in terms of communication rate is a variant of the RC speller in which stimuli are intensified by changing background color. A communication rate of 14.5 bits per minute was attained using this paradigm. For a lexicon of ∼11,000 Chinese characters, this corresponds to a projected mean input rate of ∼1.1 characters per minute.
Original languageEnglish
Title of host publication2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010
DOIs
Publication statusPublished - 6 Sep 2010
Externally publishedYes
Event4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 - Chengdu, China
Duration: 18 Jun 201020 Jun 2010

Conference

Conference4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010
CountryChina
CityChengdu
Period18/06/1020/06/10

Keywords

  • Assistive communication
  • Brain-computer interface (BCI)
  • Chinese
  • Electroencephalography (EEG)
  • P300 speller

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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