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| Presentation | 2017-12-07 14:25 A study on an indexing method of continuous JSL fingerspelling with moving action alphabets using motion features masaya kato, Masashi morimoto (AIT)  WIT2017-60 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The promotion of sign language is important for the communication with hearing-impaired people.Fingerspelling is one of sign language and easy to learn, and we have proposed an application with the motion sensor for effective learning of fingerspelling.In order to improve the recognition ability for continuous fingerspelling in this application, it is necessary to estimate the moving action of hand and fingers as finger alphabets or transition of alphabets (non alphabet). This paper proposes an indexing method of finger alphabet and non alphabet for sequential motion data obtained from motion sensor. Two motion features are extracted from the motion data, and two-class classification is performed by machine learning.Section estimation of alphabets and non alphabets (indexing) is performed after the classification by scores generated from frame length. The performance experiment of the classification and section estimation for finger alphabet groups show the effectiveness and reveal challenges of the proposed method. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | sign language / fingerspelling / motion features / machine learning / indexing / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 337, WIT2017-60, pp. 115-120, Dec. 2017. | |
| Paper # | WIT2017-60 | |
| Date of Issue | 2017-11-29 (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 | WIT2017-60 |
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| Conference Information | |
| Committee | WIT HI-SIGACI |
| Conference Date | 2017-12-06 - 2017-12-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | AIST Tokyo Waterfront |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Well-being Information Technology |
| Paper Information | |
| Registration To | WIT |
| Conference Code | 2017-12-WIT-SIGACI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on an indexing method of continuous JSL fingerspelling with moving action alphabets using motion features |
| Sub Title (in English) | |
| Keyword(1) | sign language |
| Keyword(2) | fingerspelling |
| Keyword(3) | motion features |
| Keyword(4) | machine learning |
| Keyword(5) | indexing |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | masaya kato |
| 1st Author's Affiliation | Aichi Institute of Technology (AIT) |
| 2nd Author's Name | Masashi morimoto |
| 2nd Author's Affiliation | Aichi Institute of Technology (AIT) |
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| Speaker | Author-1 |
| Date Time | 2017-12-07 14:25:00 |
| Presentation Time | 25 minutes |
| Registration for | WIT |
| Paper # | WIT2017-60 |
| Volume (vol) | vol.117 |
| Number (no) | no.337 |
| Page | pp.115-120 |
| #Pages | 6 |
| Date of Issue | 2017-11-29 (WIT) |
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