Design of wearable brain computer interface based on motor imagery

Chuan Lung Lin; Tso Yao Chu; Pei Jung Wu; Chen An Wang; Bor-Shyh Lin

doi:10.1109/IIH-MSP.2014.16

Design of wearable brain computer interface based on motor imagery

Chuan Lung Lin, Tso Yao Chu, Pei Jung Wu, Chen An Wang, Bor-Shyh Lin

Institute of Imaging and Biomedical Photonics

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

3 Scopus citations

Abstract

Brain computer interface (BCI) is a communication system to establish a communication interface between the brain and the device. Motor imagery-based brain computer interface is one of asynchronous BCIs, and have been widely developed in recent years. However, most of motor imagery-based BCI require bulk EEG machines, and lots of EEG data have to be transmitted to the back-end computer for analysis. This also causes the limitation of daily applications. In this study, a wearable motor-imagery-based BCI system with the least number of EEG channels was developed. In this system, the wearable mechanical design and the wireless EEG acquisition module were designed for measuring real time EEG in daily life. The modified BCI algorithm was also developed, and here only three channels are used to distinguish different events of motor imagery in this study. Finally, the proposed BCI system was also validated by the hand-motor imagery experiment.

Original language	English
Title of host publication	Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014
Editors	Junzo Watada, Akinori Ito, Chien-Ming Chen, Jeng-Shyang Pan, Han-Chieh Chao
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-36
Number of pages	4
ISBN (Electronic)	9781479953905
DOIs	https://doi.org/10.1109/IIH-MSP.2014.16
State	Published - 24 Dec 2014
Event	10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014 - Kitakyushu, Japan Duration: 27 Aug 2014 → 29 Aug 2014

Publication series

Name	Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014

Conference

Conference	10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014
Country/Territory	Japan
City	Kitakyushu
Period	27/08/14 → 29/08/14

Keywords

brain computer interface
Electroencephalogram
motor imagery
wearable mechanical design
wireless EEG acquisition module

Access to Document

10.1109/IIH-MSP.2014.16

Cite this

Lin, C. L., Chu, T. Y., Wu, P. J., Wang, C. A., & Lin, B.-S. (2014). Design of wearable brain computer interface based on motor imagery. In J. Watada, A. Ito, C.-M. Chen, J.-S. Pan, & H.-C. Chao (Eds.), Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014 (pp. 33-36). Article 6998261 (Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIH-MSP.2014.16

Lin, Chuan Lung ; Chu, Tso Yao ; Wu, Pei Jung et al. / Design of wearable brain computer interface based on motor imagery. Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014. editor / Junzo Watada ; Akinori Ito ; Chien-Ming Chen ; Jeng-Shyang Pan ; Han-Chieh Chao. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 33-36 (Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014).

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title = "Design of wearable brain computer interface based on motor imagery",

abstract = "Brain computer interface (BCI) is a communication system to establish a communication interface between the brain and the device. Motor imagery-based brain computer interface is one of asynchronous BCIs, and have been widely developed in recent years. However, most of motor imagery-based BCI require bulk EEG machines, and lots of EEG data have to be transmitted to the back-end computer for analysis. This also causes the limitation of daily applications. In this study, a wearable motor-imagery-based BCI system with the least number of EEG channels was developed. In this system, the wearable mechanical design and the wireless EEG acquisition module were designed for measuring real time EEG in daily life. The modified BCI algorithm was also developed, and here only three channels are used to distinguish different events of motor imagery in this study. Finally, the proposed BCI system was also validated by the hand-motor imagery experiment.",

keywords = "brain computer interface, Electroencephalogram, motor imagery, wearable mechanical design, wireless EEG acquisition module",

author = "Lin, {Chuan Lung} and Chu, {Tso Yao} and Wu, {Pei Jung} and Wang, {Chen An} and Bor-Shyh Lin",

year = "2014",

month = dec,

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doi = "10.1109/IIH-MSP.2014.16",

language = "English",

series = "Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014",

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

pages = "33--36",

editor = "Junzo Watada and Akinori Ito and Chien-Ming Chen and Jeng-Shyang Pan and Han-Chieh Chao",

booktitle = "Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014",

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note = "10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014 ; Conference date: 27-08-2014 Through 29-08-2014",

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Lin, CL, Chu, TY, Wu, PJ, Wang, CA & Lin, B-S 2014, Design of wearable brain computer interface based on motor imagery. in J Watada, A Ito, C-M Chen, J-S Pan & H-C Chao (eds), Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014., 6998261, Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 33-36, 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014, Kitakyushu, Japan, 27/08/14. https://doi.org/10.1109/IIH-MSP.2014.16

Design of wearable brain computer interface based on motor imagery. / Lin, Chuan Lung; Chu, Tso Yao; Wu, Pei Jung et al.
Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014. ed. / Junzo Watada; Akinori Ito; Chien-Ming Chen; Jeng-Shyang Pan; Han-Chieh Chao. Institute of Electrical and Electronics Engineers Inc., 2014. p. 33-36 6998261 (Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014).

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

TY - GEN

T1 - Design of wearable brain computer interface based on motor imagery

AU - Lin, Chuan Lung

AU - Chu, Tso Yao

AU - Wu, Pei Jung

AU - Wang, Chen An

AU - Lin, Bor-Shyh

PY - 2014/12/24

Y1 - 2014/12/24

N2 - Brain computer interface (BCI) is a communication system to establish a communication interface between the brain and the device. Motor imagery-based brain computer interface is one of asynchronous BCIs, and have been widely developed in recent years. However, most of motor imagery-based BCI require bulk EEG machines, and lots of EEG data have to be transmitted to the back-end computer for analysis. This also causes the limitation of daily applications. In this study, a wearable motor-imagery-based BCI system with the least number of EEG channels was developed. In this system, the wearable mechanical design and the wireless EEG acquisition module were designed for measuring real time EEG in daily life. The modified BCI algorithm was also developed, and here only three channels are used to distinguish different events of motor imagery in this study. Finally, the proposed BCI system was also validated by the hand-motor imagery experiment.

AB - Brain computer interface (BCI) is a communication system to establish a communication interface between the brain and the device. Motor imagery-based brain computer interface is one of asynchronous BCIs, and have been widely developed in recent years. However, most of motor imagery-based BCI require bulk EEG machines, and lots of EEG data have to be transmitted to the back-end computer for analysis. This also causes the limitation of daily applications. In this study, a wearable motor-imagery-based BCI system with the least number of EEG channels was developed. In this system, the wearable mechanical design and the wireless EEG acquisition module were designed for measuring real time EEG in daily life. The modified BCI algorithm was also developed, and here only three channels are used to distinguish different events of motor imagery in this study. Finally, the proposed BCI system was also validated by the hand-motor imagery experiment.

KW - brain computer interface

KW - Electroencephalogram

KW - motor imagery

KW - wearable mechanical design

KW - wireless EEG acquisition module

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M3 - Conference contribution

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T3 - Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014

SP - 33

EP - 36

BT - Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014

A2 - Watada, Junzo

A2 - Ito, Akinori

A2 - Chen, Chien-Ming

A2 - Pan, Jeng-Shyang

A2 - Chao, Han-Chieh

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014

Y2 - 27 August 2014 through 29 August 2014

ER -

Lin CL, Chu TY, Wu PJ, Wang CA, Lin BS. Design of wearable brain computer interface based on motor imagery. In Watada J, Ito A, Chen CM, Pan JS, Chao HC, editors, Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 33-36. 6998261. (Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014). doi: 10.1109/IIH-MSP.2014.16

Design of wearable brain computer interface based on motor imagery

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Keywords

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