Paper Abstract and Keywords |
Presentation |
2018-03-09 16:10
Continuous Finger Spelling Recognition Using Kinect Based on Linguistic Information Kosuke Kazama, Yasuo Horiuchi (Chiba Univ.), Shimomoto Masayoshi (Mizuho IR), Shingo Kuroiwa (Chiba Univ.) WIT2017-74 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we will discuss a finger spelling recognition based on linguistic information, Generally, a finger spelling is performed successively as a word. Therefore, it is necessary to recognize the finger spelling continuously. We have previously proposed continuous recognition of finger spelling. This method to recognize movement of arm by HMM, and recognize finger spelling by SVM which trained finger spelling for corresponding movement of arm. However, if it fails to recognize movement of arm by HMM, the finger spelling recognition fails. Therefore, we proposed a method to recognize a finger spelling word using linguistic information based on a word dictionary by independently recognition of movement of arm and recognition of hand shape, that can recognize correct finger spelling, even if it fails to recognize movement of arm by HMM. As a result of the recognition experiment, we obtained recognition rate of 98.9% for speaker closed condition and 93.5% for speaker open condition when recognition word vocabulary was restricted. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Finger Spelling Recognition / HMM / SVM / Kinect / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 502, WIT2017-74, pp. 83-88, March 2018. |
Paper # |
WIT2017-74 |
Date of Issue |
2018-03-02 (WIT) |
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) |
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WIT2017-74 |
Conference Information |
Committee |
WIT IPSJ-AAC |
Conference Date |
2018-03-09 - 2018-03-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tsukuba University of Technology |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
WIT |
Conference Code |
2018-03-WIT-AAC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Continuous Finger Spelling Recognition Using Kinect Based on Linguistic Information |
Sub Title (in English) |
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Finger Spelling Recognition |
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HMM |
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SVM |
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Kinect |
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1st Author's Name |
Kosuke Kazama |
1st Author's Affiliation |
Chiba University (Chiba Univ.) |
2nd Author's Name |
Yasuo Horiuchi |
2nd Author's Affiliation |
Chiba University (Chiba Univ.) |
3rd Author's Name |
Shimomoto Masayoshi |
3rd Author's Affiliation |
Mizuho Information & Research Institute (Mizuho IR) |
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Shingo Kuroiwa |
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Chiba University (Chiba Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-03-09 16:10:00 |
Presentation Time |
20 minutes |
Registration for |
WIT |
Paper # |
WIT2017-74 |
Volume (vol) |
vol.117 |
Number (no) |
no.502 |
Page |
pp.83-88 |
#Pages |
6 |
Date of Issue |
2018-03-02 (WIT) |
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