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| Presentation | 2011-08-04 14:00 A study on stream-weight optimization method for HMM-based sign language recognition using phonemic structure Shinji Sako, Tadashi Kitamura (NIT)  WIT2011-25 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We work on automatic Japanese sign Language (JSL) recognition using Hidden Markov Model (HMM). An important issue for modeling sign is that how to determine the constituent element of sign (i.e., subunit) like ``phoneme'' in spoken language. We focused on special feature of sign language that JSL is composed of three types of phonological elements which is hand local information, position, and movement. In this report, we propose a method for estimate the stream weight of multi-stream HMM which is correspond to phonological elements. An isolated words recognition experiment has confirmed the effectiveness of our proposed method. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | sign language recognition / multi-stream HMM / subunit / phonology / stream-weight optimization / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 174, WIT2011-25, pp. 25-30, Aug. 2011. | |
| Paper # | WIT2011-25 | |
| Date of Issue | 2011-07-28 (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) | |
| Download PDF | WIT2011-25 |
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| Conference Information | |
| Committee | WIT |
| Conference Date | 2011-08-04 - 2011-08-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Sugiura Community Care Res. Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Well-being Information Technology, etc |
| Paper Information | |
| Registration To | WIT |
| Conference Code | 2011-08-WIT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on stream-weight optimization method for HMM-based sign language recognition using phonemic structure |
| Sub Title (in English) | |
| Keyword(1) | sign language recognition |
| Keyword(2) | multi-stream HMM |
| Keyword(3) | subunit |
| Keyword(4) | phonology |
| Keyword(5) | stream-weight optimization |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shinji Sako |
| 1st Author's Affiliation | Nagoya Institute of Technology (NIT) |
| 2nd Author's Name | Tadashi Kitamura |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2011-08-04 14:00:00 |
| Presentation Time | 30 minutes |
| Registration for | WIT |
| Paper # | WIT2011-25 |
| Volume (vol) | vol.111 |
| Number (no) | no.174 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2011-07-28 (WIT) |
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