Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control

Ji Hoon Jeong, Keun Tae Kim, Dong Ju Kim, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This paper presents the feasibility of an electroencephalography (EEG)-based robot arm control system using a decoding of multi-directional arm reaching movement imagery. To do that, we have designed and implemented an experimental environment that can acquire non-invasive brain signals about multi-directional arm reaching movement. Five subjects participated in our experiments and the subjects performed four directional reaching tasks (Left, right, forward, and backward) with actual movement and movement imagery. The filter-bank common spatial pattern (FBCSP) was applied to extract spatio-frequency features from the acquired EEG signals. The regularized linear discriminant analysis (RLDA) was also applied as a classifier. As a result, the averaged classification accuracies of the actual movement and movement imagery were represented 67.04% and 59.19%, respectively. These results showed a feasibility of the EEG-based robot arm control system based on multi-directional arm reaching movement imagery.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages511-514
Number of pages4
ISBN (Electronic)9781538666500
DOIs
Publication statusPublished - 2019 Jan 16
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 2018 Oct 72018 Oct 10

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
CountryJapan
CityMiyazaki
Period18/10/718/10/10

Keywords

  • a robot arm control
  • brain-machine interface
  • electroencephalography
  • muti-directional arm reaching movement

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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