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Paper Abstract and Keywords
Presentation 2024-01-25 14:10
Identification of Hand Grasping and Opening Movements Based on EEG Feature Extraction during Motion Imaginary
Reo Shoji, Jianqing Wang (NIT) NLP2023-111 MICT2023-66 MBE2023-57
Abstract (in Japanese) (See Japanese page) 
(in English) Wearable robot control based on electroencephalograms is expected not only for the use of myoelectric artificial hands for patients with arm defects, but also for the extension of body functions for people without arm defects. Therefore, it is necessary to clarify the characteristics of the brain waves generated by motion imaged. In this study, we detected the electroencephalogram generated during the imagery of hand grasping and opening movements, extracted the features by using supervised learning, and examined the possibility of distinguishing between the gripping motion and the opening motion based on the features. In addition, considering that there are individual differences in the EEG generated, an analysis method that does not depend on the subject was considered. As a result, an average answer correct rate of 70% was achieved for all subjects, and it was found that hand grasping and opening movements could be discriminated by conducting the analysis while taking individual differences into account.
Keyword (in Japanese) (See Japanese page) 
(in English) EEG / Wearable robots / Brain Machine Interface / Extract Features / Common Spatial Pattern / Liner Discriminant Analysis / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 356, MBE2023-57, pp. 127-132, Jan. 2024.
Paper # MBE2023-57 
Date of Issue 2024-01-17 (NLP, MICT, MBE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLP2023-111 MICT2023-66 MBE2023-57

Conference Information
Committee NC MBE NLP MICT  
Conference Date 2024-01-24 - 2024-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Naruto University of Education 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, MBE, MICT, NLP, etc. 
Paper Information
Registration To MBE 
Conference Code 2024-01-NC-MBE-NLP-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Identification of Hand Grasping and Opening Movements Based on EEG Feature Extraction during Motion Imaginary 
Sub Title (in English)  
Keyword(1) EEG  
Keyword(2) Wearable robots  
Keyword(3) Brain Machine Interface  
Keyword(4) Extract Features  
Keyword(5) Common Spatial Pattern  
Keyword(6) Liner Discriminant Analysis  
Keyword(7)  
Keyword(8)  
1st Author's Name Reo Shoji  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Jianqing Wang  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2024-01-25 14:10:00 
Presentation Time 20 minutes 
Registration for MBE 
Paper # NLP2023-111, MICT2023-66, MBE2023-57 
Volume (vol) vol.123 
Number (no) no.354(NLP), no.355(MICT), no.356(MBE) 
Page pp.127-132 
#Pages 6 
Date of Issue 2024-01-17 (NLP, MICT, MBE) 

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