EEG-Based Recognition Method of Intentional and Unintentional Hand Movement

Xiaoguang Wang; Jiarong Wang; Luzheng Bi; Weijie Fei

doi:10.1109/CAC48633.2019.8996446

EEG-Based Recognition Method of Intentional and Unintentional Hand Movement

Xiaoguang Wang, Jiarong Wang, Luzheng Bi, Weijie Fei

School of Mechanical Engineering

Beijing Institute of Technology

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

4 Citations (Scopus)

Abstract

We present an electroencephalogram (EEG) signals-based method to distinguish intentional and unintentional hand movements by using the optimized linear discriminant analysis (LDA) algorithm by combining the particle swarm optimization (PSO) with the traditional LDA. We design a novel experimental paradigm to validate the proposed method. Experimental results of seven participants show that the proposed method perform well. Furthermore, the performance of the PSO-LDA algorithm which is 86.4% are better than that of the traditional LDA algorithm. This work advances the field of hand movement recognition and gives some insights into the study on human-robot interaction.

Original language	English
Title of host publication	Proceedings - 2019 Chinese Automation Congress, CAC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5480-5484
Number of pages	5
ISBN (Electronic)	9781728140940
DOIs	https://doi.org/10.1109/CAC48633.2019.8996446
Publication status	Published - Nov 2019
Event	2019 Chinese Automation Congress, CAC 2019 - Hangzhou, China Duration: 22 Nov 2019 → 24 Nov 2019

Publication series

Name	Proceedings - 2019 Chinese Automation Congress, CAC 2019

Conference

Conference	2019 Chinese Automation Congress, CAC 2019
Country/Territory	China
City	Hangzhou
Period	22/11/19 → 24/11/19

Keywords

Brain signals
Intention recognition algorithm
Intentional and Unintentional hand movement
Particle Swarm optimization (PSO)
linear discriminant algorithm

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10.1109/CAC48633.2019.8996446

Cite this

Wang, X., Wang, J., Bi, L., & Fei, W. (2019). EEG-Based Recognition Method of Intentional and Unintentional Hand Movement. In Proceedings - 2019 Chinese Automation Congress, CAC 2019 (pp. 5480-5484). Article 8996446 (Proceedings - 2019 Chinese Automation Congress, CAC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC48633.2019.8996446

@inproceedings{a00aec27e55d4855b4dc9fdc166db7b8,

title = "EEG-Based Recognition Method of Intentional and Unintentional Hand Movement",

abstract = "We present an electroencephalogram (EEG) signals-based method to distinguish intentional and unintentional hand movements by using the optimized linear discriminant analysis (LDA) algorithm by combining the particle swarm optimization (PSO) with the traditional LDA. We design a novel experimental paradigm to validate the proposed method. Experimental results of seven participants show that the proposed method perform well. Furthermore, the performance of the PSO-LDA algorithm which is 86.4% are better than that of the traditional LDA algorithm. This work advances the field of hand movement recognition and gives some insights into the study on human-robot interaction.",

keywords = "Brain signals, Intention recognition algorithm, Intentional and Unintentional hand movement, Particle Swarm optimization (PSO), linear discriminant algorithm",

author = "Xiaoguang Wang and Jiarong Wang and Luzheng Bi and Weijie Fei",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Chinese Automation Congress, CAC 2019 ; Conference date: 22-11-2019 Through 24-11-2019",

year = "2019",

month = nov,

doi = "10.1109/CAC48633.2019.8996446",

language = "English",

series = "Proceedings - 2019 Chinese Automation Congress, CAC 2019",

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

pages = "5480--5484",

booktitle = "Proceedings - 2019 Chinese Automation Congress, CAC 2019",

address = "United States",

}

Wang, X, Wang, J, Bi, L & Fei, W 2019, EEG-Based Recognition Method of Intentional and Unintentional Hand Movement. in Proceedings - 2019 Chinese Automation Congress, CAC 2019., 8996446, Proceedings - 2019 Chinese Automation Congress, CAC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 5480-5484, 2019 Chinese Automation Congress, CAC 2019, Hangzhou, China, 22/11/19. https://doi.org/10.1109/CAC48633.2019.8996446

EEG-Based Recognition Method of Intentional and Unintentional Hand Movement. / Wang, Xiaoguang; Wang, Jiarong; Bi, Luzheng et al.
Proceedings - 2019 Chinese Automation Congress, CAC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5480-5484 8996446 (Proceedings - 2019 Chinese Automation Congress, CAC 2019).

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

TY - GEN

T1 - EEG-Based Recognition Method of Intentional and Unintentional Hand Movement

AU - Wang, Xiaoguang

AU - Wang, Jiarong

AU - Bi, Luzheng

AU - Fei, Weijie

PY - 2019/11

Y1 - 2019/11

N2 - We present an electroencephalogram (EEG) signals-based method to distinguish intentional and unintentional hand movements by using the optimized linear discriminant analysis (LDA) algorithm by combining the particle swarm optimization (PSO) with the traditional LDA. We design a novel experimental paradigm to validate the proposed method. Experimental results of seven participants show that the proposed method perform well. Furthermore, the performance of the PSO-LDA algorithm which is 86.4% are better than that of the traditional LDA algorithm. This work advances the field of hand movement recognition and gives some insights into the study on human-robot interaction.

AB - We present an electroencephalogram (EEG) signals-based method to distinguish intentional and unintentional hand movements by using the optimized linear discriminant analysis (LDA) algorithm by combining the particle swarm optimization (PSO) with the traditional LDA. We design a novel experimental paradigm to validate the proposed method. Experimental results of seven participants show that the proposed method perform well. Furthermore, the performance of the PSO-LDA algorithm which is 86.4% are better than that of the traditional LDA algorithm. This work advances the field of hand movement recognition and gives some insights into the study on human-robot interaction.

KW - Brain signals

KW - Intention recognition algorithm

KW - Intentional and Unintentional hand movement

KW - Particle Swarm optimization (PSO)

KW - linear discriminant algorithm

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U2 - 10.1109/CAC48633.2019.8996446

DO - 10.1109/CAC48633.2019.8996446

M3 - Conference contribution

AN - SCOPUS:85080092465

T3 - Proceedings - 2019 Chinese Automation Congress, CAC 2019

SP - 5480

EP - 5484

BT - Proceedings - 2019 Chinese Automation Congress, CAC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 Chinese Automation Congress, CAC 2019

Y2 - 22 November 2019 through 24 November 2019

ER -

EEG-Based Recognition Method of Intentional and Unintentional Hand Movement

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