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 proceedingConference contribution

3 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 languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages524-527
Number of pages4
ISBN (Electronic)9781538666500
DOIs
Publication statusPublished - Jul 2 2018
Externally publishedYes
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: Oct 7 2018Oct 10 2018

Publication series

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

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/TerritoryJapan
CityMiyazaki
Period10/7/1810/10/18

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

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