Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction

Shaolin Liu; Fei Wang; Shichao Wu; Yahui Zhang; Ying Wei; Wei Wu; Haobo Zhao; Yuze Zhang

doi:10.1109/CCDC.2018.8408005

Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction

Shaolin Liu
, Fei Wang
, Shichao Wu
, Yahui Zhang
, Ying Wei
, Wei Wu
, Haobo Zhao
, Yuze Zhang

Northeastern University China

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

3 Scopus citations

Abstract

Brain-computer Interface is a new technology to communicate with the outside world without dependence on the peripheral nerves and muscle tissues. It has provided a brand-new interaction way for those suffering from neuromuscular diseases. Using the brain-computer interaction method based on steady state visual evoked potential, 3 instructions are designed to control the robot's motion. In this paper, band-pass filters and independent component analysis are used for artifacts reduction, the power spectral density of the signals is extracted with sliding windows to train the neural network classifier. The experimental results show that the system can complete various experimental tasks with high control precision.

Original language	English
Title of host publication	Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5042-5046
Number of pages	5
ISBN (Electronic)	9781538612439
DOIs	https://doi.org/10.1109/CCDC.2018.8408005
State	Published - 6 Jul 2018
Externally published	Yes
Event	30th Chinese Control and Decision Conference, CCDC 2018 - Shenyang, China Duration: 9 Jun 2018 → 11 Jun 2018

Publication series

Name	Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

Conference

Conference	30th Chinese Control and Decision Conference, CCDC 2018
Country/Territory	China
City	Shenyang
Period	9/06/18 → 11/06/18

Keywords

Brain-computer Interface
Independent Component Analysis
Neural Network
Steady State Visual Evoked Potential

Access to Document

10.1109/CCDC.2018.8408005

Cite this

Liu, S., Wang, F., Wu, S., Zhang, Y., Wei, Y., Wu, W., Zhao, H., & Zhang, Y. (2018). Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction. In Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018 (pp. 5042-5046). (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2018.8408005

@inproceedings{df0736a4c37e4d13a6d0eb95c05c8fd1,

title = "Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction",

abstract = "Brain-computer Interface is a new technology to communicate with the outside world without dependence on the peripheral nerves and muscle tissues. It has provided a brand-new interaction way for those suffering from neuromuscular diseases. Using the brain-computer interaction method based on steady state visual evoked potential, 3 instructions are designed to control the robot's motion. In this paper, band-pass filters and independent component analysis are used for artifacts reduction, the power spectral density of the signals is extracted with sliding windows to train the neural network classifier. The experimental results show that the system can complete various experimental tasks with high control precision.",

keywords = "Brain-computer Interface, Independent Component Analysis, Neural Network, Steady State Visual Evoked Potential",

author = "Shaolin Liu and Fei Wang and Shichao Wu and Yahui Zhang and Ying Wei and Wei Wu and Haobo Zhao and Yuze Zhang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 30th Chinese Control and Decision Conference, CCDC 2018 ; Conference date: 09-06-2018 Through 11-06-2018",

year = "2018",

month = jul,

day = "6",

doi = "10.1109/CCDC.2018.8408005",

language = "英语",

series = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5042--5046",

booktitle = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",

}

Liu, S, Wang, F, Wu, S, Zhang, Y, Wei, Y, Wu, W, Zhao, H & Zhang, Y 2018, Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction. in Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 5042-5046, 30th Chinese Control and Decision Conference, CCDC 2018, Shenyang, China, 9/06/18. https://doi.org/10.1109/CCDC.2018.8408005

Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction. / Liu, Shaolin; Wang, Fei; Wu, Shichao et al.
Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 5042-5046 (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018).

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

TY - GEN

T1 - Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction

AU - Liu, Shaolin

AU - Wang, Fei

AU - Wu, Shichao

AU - Zhang, Yahui

AU - Wei, Ying

AU - Wu, Wei

AU - Zhao, Haobo

AU - Zhang, Yuze

PY - 2018/7/6

Y1 - 2018/7/6

N2 - Brain-computer Interface is a new technology to communicate with the outside world without dependence on the peripheral nerves and muscle tissues. It has provided a brand-new interaction way for those suffering from neuromuscular diseases. Using the brain-computer interaction method based on steady state visual evoked potential, 3 instructions are designed to control the robot's motion. In this paper, band-pass filters and independent component analysis are used for artifacts reduction, the power spectral density of the signals is extracted with sliding windows to train the neural network classifier. The experimental results show that the system can complete various experimental tasks with high control precision.

AB - Brain-computer Interface is a new technology to communicate with the outside world without dependence on the peripheral nerves and muscle tissues. It has provided a brand-new interaction way for those suffering from neuromuscular diseases. Using the brain-computer interaction method based on steady state visual evoked potential, 3 instructions are designed to control the robot's motion. In this paper, band-pass filters and independent component analysis are used for artifacts reduction, the power spectral density of the signals is extracted with sliding windows to train the neural network classifier. The experimental results show that the system can complete various experimental tasks with high control precision.

KW - Brain-computer Interface

KW - Independent Component Analysis

KW - Neural Network

KW - Steady State Visual Evoked Potential

UR - https://www.scopus.com/pages/publications/85050888468

U2 - 10.1109/CCDC.2018.8408005

DO - 10.1109/CCDC.2018.8408005

M3 - 会议稿件

AN - SCOPUS:85050888468

T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

SP - 5042

EP - 5046

BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th Chinese Control and Decision Conference, CCDC 2018

Y2 - 9 June 2018 through 11 June 2018

ER -

Liu S, Wang F, Wu S, Zhang Y, Wei Y, Wu W et al. Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction. In Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 5042-5046. (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018). doi: 10.1109/CCDC.2018.8408005

Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction

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Publication series

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Keywords

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