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Paper Abstract and Keywords
Presentation 2022-05-26 09:45
Evaluation of Handwritten Numerical Character Recognition by Concatenated LSTM with Multiple Subjects
Noriaki Kaneko, Masakatsu Ogawa (Sophia Univ.) SeMI2022-1
Abstract (in Japanese) (See Japanese page) 
(in English) With the increasing infection of the new coronavirus (COVID-19), demand for contactless technology is rapidly increasing. To address this demand, we focus on the numerical input. In our conventional studies, we tried to recognize handwritten numerical character by LSTM using three-dimensional hand and finger data obtained by Leap Motion. In concatenated learning model, we separately analyze three-dimensional data obtained by each Leap Motion and recognize them by LSTM composed of dual input layer. In this study, we verify the effectiveness of the proposal learning model with multiple subjects. As a result of the classification accuracy, applying the bidirectional LSTM classification achieves the maximum 94.3% and we confirm the effectiveness of proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Contactless Operation / Hand Tracking Sensor / Automatic Measurement / Machine Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 46, SeMI2022-1, pp. 1-4, May 2022.
Paper # SeMI2022-1 
Date of Issue 2022-05-19 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee SeMI IPSJ-DPS IPSJ-MBL IPSJ-ITS  
Conference Date 2022-05-26 - 2022-05-27 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To SeMI 
Conference Code 2022-05-SeMI-DPS-MBL-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Handwritten Numerical Character Recognition by Concatenated LSTM with Multiple Subjects 
Sub Title (in English)  
Keyword(1) Contactless Operation  
Keyword(2) Hand Tracking Sensor  
Keyword(3) Automatic Measurement  
Keyword(4) Machine Learning  
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1st Author's Name Noriaki Kaneko  
1st Author's Affiliation Sophia University (Sophia Univ.)
2nd Author's Name Masakatsu Ogawa  
2nd Author's Affiliation Sophia University (Sophia Univ.)
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Speaker Author-1 
Date Time 2022-05-26 09:45:00 
Presentation Time 18 minutes 
Registration for SeMI 
Paper # SeMI2022-1 
Volume (vol) vol.122 
Number (no) no.46 
Page pp.1-4 
#Pages
Date of Issue 2022-05-19 (SeMI) 


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