Suitable Number of Visual Stimuli for SSVEP-Based BCI Spelling Applications

被引：3

作者：

Gembler, Felix ^{[1
]}

Stawicki, Piotr ^{[1
]}

Volosyak, Ivan ^{[1
]}

机构：

[1] Rhine Waal Univ Appl Sci, Fac Technol & Bion, D-47533 Kleve, Germany

来源：

ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT II | 2017年 / 10306卷

关键词：

Brain-computer interface (BCI); Electroencephalogram (EEG); Steady state visual evoked potential (SSVEP); Visual stimuli; BRAIN-COMPUTER INTERFACES;

D O I：

10.1007/978-3-319-59147-6_38

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Steady state visual evoked potentials (SSVEPs)-based Brain-Computer interfaces (BCIs) provide a pathway for re-establishing communication to people with severe disabilities. In the presented study, we compared accuracy and speed of three SSVEP-based BCI spelling applications in order to investigate the influence of the number of visual stimuli on the BCI performance. Three systems with four, six and 28 stimulating frequencies were tested. Ten subjects (one female) participated in this study. The highest ITR achieved in the experiment was 51.77 bpm. It is interesting, that it was achieved with the system based on six flickering targets. Our results confirm that the number of stimuli has high impact on classification accuracy and BCI literacy of SSVEP-based BCIs.

引用

页码：441 / 452

页数：12

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