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

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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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Acknowledgments

The work was supported by Innovation Program of Shanghai Municipal Education Commission (Grand No. 11YZ141,12ZZ150) and the National Natural Science Foundation of China (Grant No. 60905065,61105122), the Ministry of Transport of the Peoples Republic of China (Grant No. 2012319810190),the Shanghai Phosphor Science Foundation ,china (Grand No.11QA1402900).

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Authors and Affiliations

  1. Shanghai Maritime University, Shanghai, China

    Bin Xia, Xing Li, Hong Xie & Wenlu Yang

  2. Tongji University, Shanghai, China

    Jie Li & Lianghua He

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  1. Bin Xia
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  2. Xing Li
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  3. Hong Xie
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  4. Wenlu Yang
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  5. Jie Li
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Correspondence to Bin Xia.

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Xia, B., Li, X., Xie, H. et al. Asynchronous Brain–Computer Interface Based on Steady-State Visual-Evoked Potential. Cogn Comput 5, 243–251 (2013). https://doi.org/10.1007/s12559-013-9202-7

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  • DOI: https://doi.org/10.1007/s12559-013-9202-7

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