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Paper Abstract and Keywords
Presentation 2018-08-02 10:00
Recognition of the cheek visual aparence changes for the man machine interface to limb-disabled person
Noboru Murabayashi, Kenichi Yoshida (Univ. of Tsukuba) HIP2018-38
Abstract (in Japanese) (See Japanese page) 
(in English) Computer interface for severely limb-disabled person is an important issue to investigate. Head, eye and mouse tracking is a main source of information for such interface. Since limb-disabled person cannot use under the neck, how to enrich information available is important. This paper tries to use mouse, more precisely cheek, information. Computer interfaces need to be developed according to their degrees of disability and must use the body part which they can move effectively. There are many handicapped persons whose degrees of disability are different. It is desirable that various computer interfaces being prepared. Such interfaces must use various body parts to cope with various handicaps. From above viewpoints, this paper proposes the use of the cheek visual appearance changes using web camera. The experimental results with two layer convolutional deep learning processing show that the average recognition accuracy is 97%. In addition, the effects of the image size and deep learning network structure for the recognition performance are reported in this paper.
Keyword (in Japanese) (See Japanese page) 
(in English) cheek / visual appearance change / deep learning / face recognition / human machine interface / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 171, HIP2018-38, pp. 1-4, Aug. 2018.
Paper # HIP2018-38 
Date of Issue 2018-07-26 (HIP) 
ISSN Print edition: ISSN 0913-5685    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 HIP2018-38

Conference Information
Committee HIP  
Conference Date 2018-08-02 - 2018-08-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Woman's Christian University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HIP 
Conference Code 2018-08-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognition of the cheek visual aparence changes for the man machine interface to limb-disabled person 
Sub Title (in English)  
Keyword(1) cheek  
Keyword(2) visual appearance change  
Keyword(3) deep learning  
Keyword(4) face recognition  
Keyword(5) human machine interface  
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1st Author's Name Noboru Murabayashi  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Kenichi Yoshida  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2018-08-02 10:00:00 
Presentation Time 25 minutes 
Registration for HIP 
Paper # HIP2018-38 
Volume (vol) vol.118 
Number (no) no.171 
Page pp.1-4 
#Pages 4 
Date of Issue 2018-07-26 (HIP) 

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