A P300-Based Brain-Computer Interface for Chinese text Input
- 10.2991/iwmecs-15.2015.167How to use a DOI?
- Brain-Computer interface (BCI), Chinese speller, P300, Electroencephalography
In this study, a P300 visual spelling system was presented using a novel method to input Chinese sinograms developed on a Hanyu Pinyin-based method. This method transcribes a Chinese pinyin into an initial consonant and vowel component according to its mandarin pronunciation. In this paradigm, each sinogram was input by selecting the initial consonant followed by the vowel components, and then by selection of the sinogram itself. Five healthy participants participated in the study and achieved an average offline accuracy of 90.2% and an average online input speed of one sinogram per 69 seconds. The experiment results make P300-BCIs accessible to individuals whose language has a logographic writing system.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yang Yu AU - Zongtan Zhou AU - Jingsheng Tang AU - Peng Du AU - Yadong Liu AU - Dewen Hu PY - 2015/10 DA - 2015/10 TI - A P300-Based Brain-Computer Interface for Chinese text Input BT - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences PB - Atlantis Press SP - 850 EP - 853 SN - 2352-538X UR - https://doi.org/10.2991/iwmecs-15.2015.167 DO - 10.2991/iwmecs-15.2015.167 ID - Yu2015/10 ER -