EEG-Based Recognition Method of Intentional and Unintentional Hand Movement

Xiaoguang Wang, Jiarong Wang, Luzheng Bi, Weijie Fei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 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 languageEnglish
Title of host publicationProceedings - 2019 Chinese Automation Congress, CAC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5480-5484
Number of pages5
ISBN (Electronic)9781728140940
DOIs
Publication statusPublished - Nov 2019
Event2019 Chinese Automation Congress, CAC 2019 - Hangzhou, China
Duration: 22 Nov 201924 Nov 2019

Publication series

NameProceedings - 2019 Chinese Automation Congress, CAC 2019

Conference

Conference2019 Chinese Automation Congress, CAC 2019
Country/TerritoryChina
CityHangzhou
Period22/11/1924/11/19

Keywords

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

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