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    SSVEP Recognition by Using Higher Harmonics Based on Music

    Source: Journal of Computing and Information Science in Engineering:;2016:;volume( 016 ):;issue: 004::page 41005
    Author:
    Chen, Kun
    ,
    Xu, Fei
    ,
    Liu, Quan
    ,
    Liu, Haojie
    ,
    Zhang, Yang
    ,
    Ma, Li
    ,
    Ai, Qingsong
    DOI: 10.1115/1.4034384
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Among different brain–computer interfaces (BCIs), the steady-state visual evoked potential (SSVEP)-based BCI has been widely used because of its higher signal to noise ratio (SNR) and greater information transfer rate (ITR). In this paper, a method based on multiple signal classification (MUSIC) was proposed for multidimensional SSVEP signal processing. Both fundamental and second harmonics of SSVEPs were employed for the final target recognition. The experimental results proved it has the advantage of reducing recognition time. Also, the relation between the duty-cycle of the stimulus signals and the amplitude of the second harmonics of SSVEPs was discussed via experiments. In order to verify the feasibility of proposed methods, a two-layer spelling system was designed. Different subjects including those who have never used BCIs before used the system fluently in an unshielded environment.
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      SSVEP Recognition by Using Higher Harmonics Based on Music

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4236482
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    • Journal of Computing and Information Science in Engineering

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    contributor authorChen, Kun
    contributor authorXu, Fei
    contributor authorLiu, Quan
    contributor authorLiu, Haojie
    contributor authorZhang, Yang
    contributor authorMa, Li
    contributor authorAi, Qingsong
    date accessioned2017-11-25T07:20:29Z
    date available2017-11-25T07:20:29Z
    date copyright2016/11/07
    date issued2016
    identifier issn1530-9827
    identifier otherjcise_016_04_041005.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236482
    description abstractAmong different brain–computer interfaces (BCIs), the steady-state visual evoked potential (SSVEP)-based BCI has been widely used because of its higher signal to noise ratio (SNR) and greater information transfer rate (ITR). In this paper, a method based on multiple signal classification (MUSIC) was proposed for multidimensional SSVEP signal processing. Both fundamental and second harmonics of SSVEPs were employed for the final target recognition. The experimental results proved it has the advantage of reducing recognition time. Also, the relation between the duty-cycle of the stimulus signals and the amplitude of the second harmonics of SSVEPs was discussed via experiments. In order to verify the feasibility of proposed methods, a two-layer spelling system was designed. Different subjects including those who have never used BCIs before used the system fluently in an unshielded environment.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSSVEP Recognition by Using Higher Harmonics Based on Music
    typeJournal Paper
    journal volume16
    journal issue4
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4034384
    journal fristpage41005
    journal lastpage041005-10
    treeJournal of Computing and Information Science in Engineering:;2016:;volume( 016 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian