会议专题

An Assistive Communication Brain–Computer Interface for Chinese Text Input

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.

James W.Minett Gang Peng Lin Zhou Hong-Ying Zheng William S-Y.Wang

Language Engineering Laboratory Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong SAR, China

国际会议

The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

成都

英文

1-4

2010-06-18(万方平台首次上网日期,不代表论文的发表时间)