Paper Abstract and Keywords |
Presentation |
2014-06-20 11:15
Real-time Sign Language Recognition based on three Elements of Sign Language Mika Hatano, Shinji Sako, Tadashi Kitamura (Nagoya Inst. of Tech.) SP2014-58 WIT2014-13 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In sign language recognition,
an unified recognizing method is necessary
because of many methods to capture sign language motion
by different sensor devices.
We propose a method with abstraction of sign language motion based on three elements of
sign language: hand's motion, position, and form.
The method enables sign language recognition without depending on feature parameters.
Furthermore, it also can handle large vocabulary recognition if we use large vocabulary dictionary
to decide rules of abstraction.
In this paper, we performed an experiment of sign language words recognition.
In this experiment, we used HMM for recognition of moving , template matching of depth image for recognition of form, and the normal distribution learned by maximum likelihood estimation for recognition of position.
Based on our proposal method, we prepared recognition models of each element and conducted an experiment of real-time 100 sign language words recognition based on a sign language words dictionary using the depth sensor, Kinect. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
sign language recognition / real-time / Kinect / HMM / template matching / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 92, WIT2014-13, pp. 69-74, June 2014. |
Paper # |
WIT2014-13 |
Date of Issue |
2014-06-12 (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) |
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SP2014-58 WIT2014-13 |
Conference Information |
Committee |
SP WIT ASJ-H |
Conference Date |
2014-06-19 - 2014-06-20 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
WIT |
Conference Code |
2014-06-SP-WIT-H |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Real-time Sign Language Recognition based on three Elements of Sign Language |
Sub Title (in English) |
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Keyword(1) |
sign language recognition |
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real-time |
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Kinect |
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HMM |
Keyword(5) |
template matching |
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1st Author's Name |
Mika Hatano |
1st Author's Affiliation |
Nagoya Institute of Technology (Nagoya Inst. of Tech.) |
2nd Author's Name |
Shinji Sako |
2nd Author's Affiliation |
Nagoya Institute of Technology (Nagoya Inst. of Tech.) |
3rd Author's Name |
Tadashi Kitamura |
3rd Author's Affiliation |
Nagoya Institute of Technology (Nagoya Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2014-06-20 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
WIT |
Paper # |
SP2014-58, WIT2014-13 |
Volume (vol) |
vol.114 |
Number (no) |
no.91(SP), no.92(WIT) |
Page |
pp.69-74 |
#Pages |
6 |
Date of Issue |
2014-06-12 (SP, WIT) |
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