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Paper Abstract and Keywords
Presentation 2008-01-16 12:00
Gesture Recognition using Sparse Code of Hierarchical Self-Organizing Map
Atsushi Shimada, Rin-ichiro Taniguchi (Kyushu Univ.) NC2007-104
Abstract (in Japanese) (See Japanese page) 
(in English) e propose an approach to recognize time-series gesture patterns with Self-Organizing Map. The time length of a human gesture is not always same even if we compare the same gesture. Of course, when the gesture is different, the time length is obviously different. Therefore, the key issue of the time-series pattern recognition is to absorb the time variant appropriately and to make clusters which include the same gesture class. In our approach, we arrange the Self-Organizing Maps hierarchically. In each layer of the Self-Organizing Map, the time-series patterns divided into some periods rowdy. For example, postures which are the minimum unit of a gesture are learned in the first layer. In the second layer, short gestures which are consist of some time-series postures are learned. In this paper, we call such short gestures ``gesture element''. In the upper layer, gestures which are consist of some gesture elements are learned. In our approach, we use the activated pattern of neurons in the first layer, which we call ``Sparse Code''. The Self-Organizing Map can store the similar patterns on the neighbor neurons. This helps the Self-Organizing Map to create similar sparse code even if the time lengths of the gesture are different from each other in the same gesture class. Therefore, in the upper layer, the Self-Organizing Map can perform time invariant recognition of the gesture elements and gestures. In this paper, we explain how to learn and recognize the gesture patterns with the sparse codes of the hierarchical Self-Organizing Maps.
Keyword (in Japanese) (See Japanese page) 
(in English) Hierarchical Self-Organizing Map / Gesture Recognition / Sparse Coding / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 413, NC2007-104, pp. 103-108, Jan. 2008.
Paper # NC2007-104 
Date of Issue 2008-01-08 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NC  
Conference Date 2008-01-15 - 2008-01-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Centennial Hall, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning, etc. 
Paper Information
Registration To NC 
Conference Code 2008-01-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Gesture Recognition using Sparse Code of Hierarchical Self-Organizing Map 
Sub Title (in English)  
Keyword(1) Hierarchical Self-Organizing Map  
Keyword(2) Gesture Recognition  
Keyword(3) Sparse Coding  
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1st Author's Name Atsushi Shimada  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Rin-ichiro Taniguchi  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2008-01-16 12:00:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2007-104 
Volume (vol) vol.107 
Number (no) no.413 
Page pp.103-108 
#Pages
Date of Issue 2008-01-08 (NC) 


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