Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications

Yubin Zhang; Jun Xie; Guanghua Xu; Xingliang Han; Min Li; Tangfei Tao

doi:10.1109/NER.2019.8717177

Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications

Yubin Zhang
, Jun Xie
, Guanghua Xu
, Xingliang Han
, Min Li
, Tangfei Tao

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Synchronous or asynchronous steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been widely studied due to its advantages of obvious spectral characteristics, less electrodes usage and no training needed for ordinary users. In this paper, a method of combining asynchronous eye-tracking switch with synchronous SSVEP-based BCI is proposed. The eye tracking is designed as an 'upper-level' switch of the hybrid system to provide a free-control characteristic, and the 'lower-level' synchronous SSVEP BCI retains the high-accuracy property for multi-command control. Results showed that the accuracy of the eye-tracking-switch based hybrid system is relatively higher than the common SSVEP BCI, which proved the feasibility and user-friendliness of the designed method.

Original language	English
Title of host publication	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Publisher	IEEE Computer Society
Pages	360-364
Number of pages	5
ISBN (Electronic)	9781538679210
DOIs	https://doi.org/10.1109/NER.2019.8717177
State	Published - 16 May 2019
Event	9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States Duration: 20 Mar 2019 → 23 Mar 2019

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2019-March
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Conference

Conference	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Country/Territory	United States
City	San Francisco
Period	20/03/19 → 23/03/19

Access to Document

10.1109/NER.2019.8717177

Cite this

Zhang, Y., Xie, J., Xu, G., Han, X., Li, M., & Tao, T. (2019). Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications. In 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 (pp. 360-364). Article 8717177 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/NER.2019.8717177

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title = "Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications",

abstract = "Synchronous or asynchronous steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been widely studied due to its advantages of obvious spectral characteristics, less electrodes usage and no training needed for ordinary users. In this paper, a method of combining asynchronous eye-tracking switch with synchronous SSVEP-based BCI is proposed. The eye tracking is designed as an 'upper-level' switch of the hybrid system to provide a free-control characteristic, and the 'lower-level' synchronous SSVEP BCI retains the high-accuracy property for multi-command control. Results showed that the accuracy of the eye-tracking-switch based hybrid system is relatively higher than the common SSVEP BCI, which proved the feasibility and user-friendliness of the designed method.",

author = "Yubin Zhang and Jun Xie and Guanghua Xu and Xingliang Han and Min Li and Tangfei Tao",

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Zhang, Y, Xie, J, Xu, G, Han, X, Li, M & Tao, T 2019, Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications. in 9th International IEEE EMBS Conference on Neural Engineering, NER 2019., 8717177, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2019-March, IEEE Computer Society, pp. 360-364, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019, San Francisco, United States, 20/03/19. https://doi.org/10.1109/NER.2019.8717177

Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications. / Zhang, Yubin; Xie, Jun; Xu, Guanghua et al.
9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, 2019. p. 360-364 8717177 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhang, Yubin

AU - Xie, Jun

AU - Xu, Guanghua

AU - Han, Xingliang

AU - Li, Min

AU - Tao, Tangfei

PY - 2019/5/16

Y1 - 2019/5/16

N2 - Synchronous or asynchronous steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been widely studied due to its advantages of obvious spectral characteristics, less electrodes usage and no training needed for ordinary users. In this paper, a method of combining asynchronous eye-tracking switch with synchronous SSVEP-based BCI is proposed. The eye tracking is designed as an 'upper-level' switch of the hybrid system to provide a free-control characteristic, and the 'lower-level' synchronous SSVEP BCI retains the high-accuracy property for multi-command control. Results showed that the accuracy of the eye-tracking-switch based hybrid system is relatively higher than the common SSVEP BCI, which proved the feasibility and user-friendliness of the designed method.

AB - Synchronous or asynchronous steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been widely studied due to its advantages of obvious spectral characteristics, less electrodes usage and no training needed for ordinary users. In this paper, a method of combining asynchronous eye-tracking switch with synchronous SSVEP-based BCI is proposed. The eye tracking is designed as an 'upper-level' switch of the hybrid system to provide a free-control characteristic, and the 'lower-level' synchronous SSVEP BCI retains the high-accuracy property for multi-command control. Results showed that the accuracy of the eye-tracking-switch based hybrid system is relatively higher than the common SSVEP BCI, which proved the feasibility and user-friendliness of the designed method.

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M3 - 会议稿件

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Zhang Y, Xie J, Xu G, Han X, Li M , Tao T. Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications. In 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society. 2019. p. 360-364. 8717177. (International IEEE/EMBS Conference on Neural Engineering, NER). doi: 10.1109/NER.2019.8717177

Asynchronous eye-tracking-actuated switch for steady-state visual evoked potential based brain-computer interface applications

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