A novel SSVEP-Based brain-computer interface using joint frequency and space modulation

Zhenyu Wang; Honglin Hu; Xianfu Chen; Ting Zhou; Tianheng Xu

doi:10.1109/INFOCOMWKSHPS50562.2020.9162716

A novel SSVEP-Based brain-computer interface using joint frequency and space modulation

Zhenyu Wang, Honglin Hu, Xianfu Chen, Ting Zhou, Tianheng Xu

BA6401 Connectivity services and solutions

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

Traditional steady state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) encode visual targets mainly with different stimulation frequencies. However, as more and more visual targets are squeezed into the limited stimulation spectrum in order to improve the BCIs' communication rate, the distinguishability among the neighboring targets with adjacent stimulation frequencies is to certain extent compromised. To solve this problem, in this paper a novel joint modulation scheme is proposed for the SSVEP-based BCIs, In the new scheme, visual targets are jointly encoded with different frequencies and different spatial forms. In this way, better classification performance can be achieved, especially for the neighboring targets. A four-target prototype system is developed and tested. The validity of the proposed new system using joint modulation is verified.

Original language	English
Title of host publication	IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	906-911
ISBN (Electronic)	978-1-7281-8695-5
DOIs	https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162716
Publication status	Published - Jul 2020
MoE publication type	A4 Article in a conference publication
Event	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada Duration: 6 Jul 2020 → 9 Jul 2020

Conference

Conference	2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Country/Territory	Canada
City	Toronto
Period	6/07/20 → 9/07/20

Keywords

BCI
EEG
FDMA
Higher communication rate
SDMA
SSVEP

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10.1109/INFOCOMWKSHPS50562.2020.9162716

Cite this

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title = "A novel SSVEP-Based brain-computer interface using joint frequency and space modulation",

abstract = "Traditional steady state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) encode visual targets mainly with different stimulation frequencies. However, as more and more visual targets are squeezed into the limited stimulation spectrum in order to improve the BCIs' communication rate, the distinguishability among the neighboring targets with adjacent stimulation frequencies is to certain extent compromised. To solve this problem, in this paper a novel joint modulation scheme is proposed for the SSVEP-based BCIs, In the new scheme, visual targets are jointly encoded with different frequencies and different spatial forms. In this way, better classification performance can be achieved, especially for the neighboring targets. A four-target prototype system is developed and tested. The validity of the proposed new system using joint modulation is verified.",

keywords = "BCI, EEG, FDMA, Higher communication rate, SDMA, SSVEP",

author = "Zhenyu Wang and Honglin Hu and Xianfu Chen and Ting Zhou and Tianheng Xu",

year = "2020",

month = jul,

doi = "10.1109/INFOCOMWKSHPS50562.2020.9162716",

language = "English",

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booktitle = "IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 ; Conference date: 06-07-2020 Through 09-07-2020",

}

Wang, Z, Hu, H, Chen, X, Zhou, T & Xu, T 2020, A novel SSVEP-Based brain-computer interface using joint frequency and space modulation. in IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. IEEE Institute of Electrical and Electronic Engineers, pp. 906-911, 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020, Toronto, Canada, 6/07/20. https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162716

A novel SSVEP-Based brain-computer interface using joint frequency and space modulation. / Wang, Zhenyu; Hu, Honglin; Chen, Xianfu et al.
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. IEEE Institute of Electrical and Electronic Engineers, 2020. p. 906-911.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - A novel SSVEP-Based brain-computer interface using joint frequency and space modulation

AU - Wang, Zhenyu

AU - Hu, Honglin

AU - Chen, Xianfu

AU - Zhou, Ting

AU - Xu, Tianheng

PY - 2020/7

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N2 - Traditional steady state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) encode visual targets mainly with different stimulation frequencies. However, as more and more visual targets are squeezed into the limited stimulation spectrum in order to improve the BCIs' communication rate, the distinguishability among the neighboring targets with adjacent stimulation frequencies is to certain extent compromised. To solve this problem, in this paper a novel joint modulation scheme is proposed for the SSVEP-based BCIs, In the new scheme, visual targets are jointly encoded with different frequencies and different spatial forms. In this way, better classification performance can be achieved, especially for the neighboring targets. A four-target prototype system is developed and tested. The validity of the proposed new system using joint modulation is verified.

AB - Traditional steady state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) encode visual targets mainly with different stimulation frequencies. However, as more and more visual targets are squeezed into the limited stimulation spectrum in order to improve the BCIs' communication rate, the distinguishability among the neighboring targets with adjacent stimulation frequencies is to certain extent compromised. To solve this problem, in this paper a novel joint modulation scheme is proposed for the SSVEP-based BCIs, In the new scheme, visual targets are jointly encoded with different frequencies and different spatial forms. In this way, better classification performance can be achieved, especially for the neighboring targets. A four-target prototype system is developed and tested. The validity of the proposed new system using joint modulation is verified.

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KW - EEG

KW - FDMA

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A novel SSVEP-Based brain-computer interface using joint frequency and space modulation

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