Paper Abstract and Keywords |
Presentation |
2017-10-20 10:20
Effective skeletons for sign language recognition Tomoya Kodama, Takeshi Saitoh (Kyutech) SP2017-49 WIT2017-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the reasonable motion sensor Microsoft Kinect was marketed, a lot of sign language recognition methods using Kinect have been proposed. However, in the conventional researches, in skeleton information that can be obtained from Kinect, there are no discussion for efficient skeleton information for sign language recognition task. In this research, although we use the position feature and movement feature which are proposed in the previous research, we investigate the effective skeleton information for sign language recognition by changing the skeleton information to consider, such as hands, wrists, elbows, shoulder. As the recognition results using public dataset ChaLearn, it was found that high recognition accuracy can be obtained by using the position and movement feature of both hands and elbows. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Sign language recognition / skeleton information / ChaLearn dataset / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 251, WIT2017-45, pp. 83-87, Oct. 2017. |
Paper # |
WIT2017-45 |
Date of Issue |
2017-10-12 (SP, 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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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SP2017-49 WIT2017-45 |
Conference Information |
Committee |
WIT SP |
Conference Date |
2017-10-19 - 2017-10-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tobata Library of Kyutech (Kitakyushu) |
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(See Japanese page) |
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Paper Information |
Registration To |
WIT |
Conference Code |
2017-10-WIT-SP |
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Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Effective skeletons for sign language recognition |
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Sign language recognition |
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skeleton information |
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ChaLearn dataset |
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1st Author's Name |
Tomoya Kodama |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
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Takeshi Saitoh |
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Kyushu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2017-10-20 10:20:00 |
Presentation Time |
20 minutes |
Registration for |
WIT |
Paper # |
SP2017-49, WIT2017-45 |
Volume (vol) |
vol.117 |
Number (no) |
no.250(SP), no.251(WIT) |
Page |
pp.83-87 |
#Pages |
5 |
Date of Issue |
2017-10-12 (SP, WIT) |
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