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Cognitive Computation

Erschienen in:

01.06.2013

Asynchronous Brain–Computer Interface Based on Steady-State Visual-Evoked Potential

verfasst von: Bin Xia, Xing Li, Hong Xie, Wenlu Yang, Jie Li, Lianghua He

Erschienen in: Cognitive Computation | Ausgabe 2/2013

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Abstract

Asynchronous brain–computer interface (BCI) systems are more practicable than synchronous ones in real-world applications. A key challenge in asynchronous BCI design is to discriminate intentional control (IC) and non-intentional control (NC) states. In this paper, we present a two-stage asynchronous protocol for a steady-state visual-evoked potential-based BCI. First, we estimate a threshold using canonical correlation analysis coefficients in synchronous mode; then, we combine it with a sliding window strategy to continuously detect the mental state of the user. If the current state is judged as an IC state, then the system will output command. Our results show that the average positive predictive value of the system is 77.06 % and that its average false-positive rate in the NC state and IC state are 2.37 and 12.05 %, respectively.

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Titel: Asynchronous Brain–Computer Interface Based on Steady-State Visual-Evoked Potential
verfasst von: Bin Xia
Xing Li
Hong Xie
Wenlu Yang
Jie Li
Lianghua He
Publikationsdatum: 01.06.2013
Verlag: Springer-Verlag
Erschienen in: Cognitive Computation / Ausgabe 2/2013
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI: https://doi.org/10.1007/s12559-013-9202-7

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