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An Asynchronous Detection Algorithm for SSVEP-Based BCI Using Gradient Boosting Decision Tree

Published: 11 January 2021 Publication History

Abstract

Asynchronous Brain-computer Interface (BCI) plays an essential role in practical applications, for it can detect intentional control (IC) states and non-control (NC) states directly, allowing users to send commands when they intend to do so. In this study, to achieve an efficient asynchronous BCI system, Gradient Boosting Decision Tree (GBDT) is applied to detect IC and NC states for the first time. Specifically, the steady-state visual evoked potentials (SSVEP) is chosen as the BCI paradigm. With the help of appropriate feature selection and optimization, the proposed method not only improved the recognition accuracy but also reduced the computational cost.

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Cited By

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  • (2022)The Butterfly Effect: Novel Opportunities for Steady-State Visually-Evoked Potential Stimuli in Virtual RealityProceedings of the Augmented Humans International Conference 202210.1145/3519391.3519397(254-266)Online publication date: 13-Mar-2022
  • (2022)Spatio-Spectral CCA (SS-CCA): A novel approach for frequency recognition in SSVEP-based BCIJournal of Neuroscience Methods10.1016/j.jneumeth.2022.109499371(109499)Online publication date: Apr-2022

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  1. An Asynchronous Detection Algorithm for SSVEP-Based BCI Using Gradient Boosting Decision Tree

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    cover image ACM Other conferences
    ICCPR '20: Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition
    October 2020
    552 pages
    ISBN:9781450387835
    DOI:10.1145/3436369
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Beijing University of Technology

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    Published: 11 January 2021

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    Author Tags

    1. GBDT
    2. SSVEP
    3. asynchronous detection
    4. feature optimization

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    View all
    • (2022)The Butterfly Effect: Novel Opportunities for Steady-State Visually-Evoked Potential Stimuli in Virtual RealityProceedings of the Augmented Humans International Conference 202210.1145/3519391.3519397(254-266)Online publication date: 13-Mar-2022
    • (2022)Spatio-Spectral CCA (SS-CCA): A novel approach for frequency recognition in SSVEP-based BCIJournal of Neuroscience Methods10.1016/j.jneumeth.2022.109499371(109499)Online publication date: Apr-2022

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