Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements

Abdelkader Nasreddin Belkacem; Shuichi Nishio; Takafumi Suzuki; Hiroshi Ishiguro; Masayuki Hirata

doi:10.1109/SMC.2018.00099

Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements

Abdelkader Nasreddin Belkacem, Shuichi Nishio, Takafumi Suzuki, Hiroshi Ishiguro, Masayuki Hirata

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

4 Citations (Scopus)

Abstract

The present study describes neuromagnetic Geminoid control system by using single-trial decoding of bilateral hand movements as a new approach to enhance a user's ability to interact with a complex environment through a multidimensional brain-computer interface (BCI). Two healthy participants performed or imagined four types of bilateral hand movements during non-invasive magnetic field measurements to control a human-like robot (Geminoid HI-2) in real-time. By applying a nonlinear support vector machine (SVM) method to classify the four movements regarding magnetoencephalography (MEG) sensors obtained from the sensorimotor area, we found the mean accuracy of a 2-class classification using the amplitudes of neuromagnetic fields to be particularly suitable for real time control applications, with accuracies comparable to those obtained in previous studies involving unilateral hand movement. Moreover, our results demonstrated that decoding bilateral movements in real-time is a promising option to design multidimensional-control based BCI applications.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	524-527
Number of pages	4
ISBN (Electronic)	9781538666500
DOIs	https://doi.org/10.1109/SMC.2018.00099
Publication status	Published - Jul 2 2018
Externally published	Yes
Event	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan Duration: Oct 7 2018 → Oct 10 2018

Publication series

Name	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/Territory	Japan
City	Miyazaki
Period	10/7/18 → 10/10/18

Keywords

Bilateral movements
Brain-computer interface
Geminoid HI-2
Magnetoencephalography
Motor imagery
SVM classification
Voluntary motor control

ASJC Scopus subject areas

Information Systems
Information Systems and Management
Health Informatics
Artificial Intelligence
Computer Networks and Communications
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SMC.2018.00099

Cite this

Belkacem, A. N., Nishio, S., Suzuki, T., Ishiguro, H., & Hirata, M. (2018). Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 (pp. 524-527). Article 8616094 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2018.00099

Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements. / Belkacem, Abdelkader Nasreddin; Nishio, Shuichi; Suzuki, Takafumi et al.
Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 524-527 8616094 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

Belkacem, AN, Nishio, S, Suzuki, T, Ishiguro, H & Hirata, M 2018, Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements. in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018., 8616094, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 524-527, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, 10/7/18. https://doi.org/10.1109/SMC.2018.00099

Belkacem AN, Nishio S, Suzuki T, Ishiguro H, Hirata M. Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 524-527. 8616094. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). doi: 10.1109/SMC.2018.00099

Belkacem, Abdelkader Nasreddin ; Nishio, Shuichi ; Suzuki, Takafumi et al. / Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 524-527 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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abstract = "The present study describes neuromagnetic Geminoid control system by using single-trial decoding of bilateral hand movements as a new approach to enhance a user's ability to interact with a complex environment through a multidimensional brain-computer interface (BCI). Two healthy participants performed or imagined four types of bilateral hand movements during non-invasive magnetic field measurements to control a human-like robot (Geminoid HI-2) in real-time. By applying a nonlinear support vector machine (SVM) method to classify the four movements regarding magnetoencephalography (MEG) sensors obtained from the sensorimotor area, we found the mean accuracy of a 2-class classification using the amplitudes of neuromagnetic fields to be particularly suitable for real time control applications, with accuracies comparable to those obtained in previous studies involving unilateral hand movement. Moreover, our results demonstrated that decoding bilateral movements in real-time is a promising option to design multidimensional-control based BCI applications.",

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Neuromagnetic Geminoid Control by BCI Based on Four Bilateral Hand Movements

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

UN SDGs

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