The design of multi-task simulation manipulator based on motor imagery EEG

Yuhang  Ye; Chenguang Yang; Xinyang  Li; Zhaojie Ju; Zhijun  Li

doi:10.1109/SMC.2017.8123135

The design of multi-task simulation manipulator based on motor imagery EEG

Yuhang Ye, Chenguang Yang, Xinyang Li, Zhaojie Ju, Zhijun Li

School of Computing

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

238 Downloads (Pure)

Abstract

In this paper, a mind controlled multi-task manipulator based on motor imagery electroencephalogram (EEG) is proposed. Describe the system function first: In the case of only two types of control signal, the implementation of multi-task Manipulator relies on a toggle-confirmation mode of operation: the task is switched when imagining the left-hand movement, and the task is confirmed when the right-hand movement is imagined. In the BCI system, common spatial pattern (CSP) is used for feature extraction, mutual information for feature selection, and linear discriminant analysis (LDA) for pattern classification. The EEG signal is processed and classified into two categories, imagery of left-hand and right-hand movement. In this way, we can achieve the multi-task control of the manipulator under the premise of ensuring the accuracy of EEG recognition.

Original language	English
Title of host publication	2017 IEEE International Conference on Systems, Man and Cybernetics
Subtitle of host publication	SMC
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3284-3289
ISBN (Electronic)	978-1-5386-1645-1
ISBN (Print)	978-1-5386-1646-8
DOIs	https://doi.org/10.1109/SMC.2017.8123135
Publication status	Published - 1 Dec 2017

Access to Document

10.1109/SMC.2017.8123135

yyh_bare_conf
© © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript (Post-print), 2.83 MB

Cite this

@inproceedings{30d8edd1d8324eea862d8ce3c9388682,

title = "The design of multi-task simulation manipulator based on motor imagery EEG",

abstract = "In this paper, a mind controlled multi-task manipulator based on motor imagery electroencephalogram (EEG) is proposed. Describe the system function first: In the case of only two types of control signal, the implementation of multi-task Manipulator relies on a toggle-confirmation mode of operation: the task is switched when imagining the left-hand movement, and the task is confirmed when the right-hand movement is imagined. In the BCI system, common spatial pattern (CSP) is used for feature extraction, mutual information for feature selection, and linear discriminant analysis (LDA) for pattern classification. The EEG signal is processed and classified into two categories, imagery of left-hand and right-hand movement. In this way, we can achieve the multi-task control of the manipulator under the premise of ensuring the accuracy of EEG recognition.",

author = "Yuhang Ye and Chenguang Yang and Xinyang Li and Zhaojie Ju and Zhijun Li",

year = "2017",

month = dec,

day = "1",

doi = "10.1109/SMC.2017.8123135",

language = "English",

isbn = "978-1-5386-1646-8",

pages = "3284--3289",

booktitle = "2017 IEEE International Conference on Systems, Man and Cybernetics",

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

address = "United States",

}

TY - GEN

T1 - The design of multi-task simulation manipulator based on motor imagery EEG

AU - Ye, Yuhang

AU - Yang, Chenguang

AU - Li, Xinyang

AU - Ju, Zhaojie

AU - Li, Zhijun

PY - 2017/12/1

Y1 - 2017/12/1

N2 - In this paper, a mind controlled multi-task manipulator based on motor imagery electroencephalogram (EEG) is proposed. Describe the system function first: In the case of only two types of control signal, the implementation of multi-task Manipulator relies on a toggle-confirmation mode of operation: the task is switched when imagining the left-hand movement, and the task is confirmed when the right-hand movement is imagined. In the BCI system, common spatial pattern (CSP) is used for feature extraction, mutual information for feature selection, and linear discriminant analysis (LDA) for pattern classification. The EEG signal is processed and classified into two categories, imagery of left-hand and right-hand movement. In this way, we can achieve the multi-task control of the manipulator under the premise of ensuring the accuracy of EEG recognition.

AB - In this paper, a mind controlled multi-task manipulator based on motor imagery electroencephalogram (EEG) is proposed. Describe the system function first: In the case of only two types of control signal, the implementation of multi-task Manipulator relies on a toggle-confirmation mode of operation: the task is switched when imagining the left-hand movement, and the task is confirmed when the right-hand movement is imagined. In the BCI system, common spatial pattern (CSP) is used for feature extraction, mutual information for feature selection, and linear discriminant analysis (LDA) for pattern classification. The EEG signal is processed and classified into two categories, imagery of left-hand and right-hand movement. In this way, we can achieve the multi-task control of the manipulator under the premise of ensuring the accuracy of EEG recognition.

U2 - 10.1109/SMC.2017.8123135

DO - 10.1109/SMC.2017.8123135

M3 - Conference contribution

SN - 978-1-5386-1646-8

SP - 3284

EP - 3289

BT - 2017 IEEE International Conference on Systems, Man and Cybernetics

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

The design of multi-task simulation manipulator based on motor imagery EEG

Abstract

Access to Document

Fingerprint

Cite this