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| Presentation | 2012-02-10 10:00 Large Vocabrary Sign Language Recognition Based on Cheremes Arata Sato, Koichi Shinoda (TokyoTech)  PRMU2011-222 SP2011-137 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a large vocabulary sign language recognition method. While most conventional methods used word units for sign language modeling, it is difficult to apply such methods to large-vocabulary recognition. Inspired by the use of phoneme units in speech recognition, we introduce "chereme" unit models in large-vocabulary sign language recognition. The problems are how to define cheremes and developing a recognition algorithm using cheremes. We first represent signs using the 6 elements: "hand movement-hold", "hand shape" and "wrist direction" of both hands. Then, we define chereme unit HMMs in each element. We use the weighted sum of output probabilities of the HMMs of these elements for recognition. We evaluated our method by using isolated sign language recognition. We achieved 78.2% word correct on the closed set of 258 words and 23.6% word correct on the open set with 469 words. We also achieved 18.8% word correct on speaker-independent recognition. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | large-vocabrary sign language recognition / chereme / hidden Markov model / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 430, PRMU2011-222, pp. 155-160, Feb. 2012. | |
| Paper # | PRMU2011-222 | |
| Date of Issue | 2012-02-02 (PRMU, SP) | |
| 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 | PRMU2011-222 SP2011-137 |
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| Conference Information | |
| Committee | PRMU SP |
| Conference Date | 2012-02-09 - 2012-02-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2012-02-PRMU-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Large Vocabrary Sign Language Recognition Based on Cheremes |
| Sub Title (in English) | |
| Keyword(1) | large-vocabrary sign language recognition |
| Keyword(2) | chereme |
| Keyword(3) | hidden Markov model |
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| 1st Author's Name | Arata Sato |
| 1st Author's Affiliation | Tokyo Institute of Technology (TokyoTech) |
| 2nd Author's Name | Koichi Shinoda |
| 2nd Author's Affiliation | Tokyo Institute of Technology (TokyoTech) |
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| Speaker | Author-1 |
| Date Time | 2012-02-10 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2011-222, SP2011-137 |
| Volume (vol) | vol.111 |
| Number (no) | no.430(PRMU), no.431(SP) |
| Page | pp.155-160 |
| #Pages | 6 |
| Date of Issue | 2012-02-02 (PRMU, SP) |
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