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

页码：354 / +

页数：2

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