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| Presentation | 2015-01-23 14:50 Efficient Features for Sign Language Word Recognition using Kinect Tomoki Koyama, Takeshi Saitoh (Kyutech)  MBE2014-115 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The aim of our research is a development of the sign language recognition system for smooth communication between hearing disability person and hearing person. Sign language is consisted of three elements; hand position, hand movement, and hand shape. The proposed method is reflected all elements. Specifically, as for the hand shape, this paper investigates four kinds of features of PCA-based feature, geometrical features, DCT-based features and LBP-based feature. Multi-stream HMM is used for the learning and recognition processes. We set 100 words as the recognition target, gathered sign scenes with six persons, and evaluated the proposed method. As a result, all three elements of hand position, hand movement, and LBP-based hand shape are efficient for the sign language recognition. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Sign Language Recognition / Kinect / depth image / features / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 408, MBE2014-115, pp. 117-120, Jan. 2015. | |
| Paper # | MBE2014-115 | |
| Date of Issue | 2015-01-15 (MBE) | |
| 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 | MBE2014-115 |
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| Conference Information | |
| Committee | MBE |
| Conference Date | 2015-01-22 - 2015-01-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kumamoto University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2015-01-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Efficient Features for Sign Language Word Recognition using Kinect |
| Sub Title (in English) | |
| Keyword(1) | Sign Language Recognition |
| Keyword(2) | Kinect |
| Keyword(3) | depth image |
| Keyword(4) | features |
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| 1st Author's Name | Tomoki Koyama |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Takeshi Saitoh |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2015-01-23 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2014-115 |
| Volume (vol) | vol.114 |
| Number (no) | no.408 |
| Page | pp.117-120 |
| #Pages | 4 |
| Date of Issue | 2015-01-15 (MBE) |
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