Spelling with steady-state visual evoked Potentials

被引:39
作者
Friman, Ola [1 ]
Lueth, Thorsten [1 ]
Volosyak, Ivan [1 ]
Graeser, Axel [1 ]
机构
[1] Univ Bremen, Inst Automat, Otto Hahn Allee 1, D-28359 Bremen, Germany
来源
2007 3RD INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, VOLS 1 AND 2 | 2007年
关键词
D O I
10.1109/CNE.2007.369683
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this work, the real-time performance of a novel method for detecting Steady-State Visual Evoked Potentials (SSVEP) is evaluated in a brain-computer interface (BCI) spelling task. At the core of this method is a spatial filtering algorithm for extracting SSVEP responses, which in previous off-line studies has shown significantly improved classification performance. The on-tine performance is investigated by letting a group of 11 healthy subjects spell the word 'BRAINCOMPUTERINTERFACE'. An average information transfer rate of 27 bits/minute was obtained in this task and the probability of correctly classifying the user's intention was estimated to 97.5%. In addition, two different letter layouts and selection schemes tailored for SSVEP BCI's are compared.
引用
收藏
页码:354 / +
页数:2
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