Paper Abstract and Keywords |
Presentation |
2017-05-28 10:45
A study on JSL Finger Spelling Recognition Using Convolutional Neural Networks Shinji Sako, Hana Hosoe (NIT), Bogdan Kwolek (AGH Univ. of Technology) WIT2017-10 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, a few methods for recognition of hand postures on depth maps using convolutional neural networks were proposed. In this paper, we present a framework for recognition of static finger spelling in Japanese Sign Language. The recognition takes place on the basis of single gray image. The finger spelled signs are recognized using a convolutional neural network. A dataset consisting of 5000 samples has been recorded. A 3D articulated hand model has been designed to generate synthetic finger spellings and to extend the real hand gestures. Experimental results demonstrate that owing to sufficient amount of training data a high recognition rate can be attained on images from a single RGB camera. The full dataset and Caffe model are available for download. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
sign language, / finger spelling recognition / convolutional neural networks / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 66, WIT2017-10, pp. 45-49, May 2017. |
Paper # |
WIT2017-10 |
Date of Issue |
2017-05-20 (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 |
WIT2017-10 |
Conference Information |
Committee |
WIT ASJ-H |
Conference Date |
2017-05-27 - 2017-05-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
RION Co., LTD. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Psychological and Physiological Acoustics and Well-being Information Technology, etc. |
Paper Information |
Registration To |
WIT |
Conference Code |
2017-05-WIT-H |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A study on JSL Finger Spelling Recognition Using Convolutional Neural Networks |
Sub Title (in English) |
|
Keyword(1) |
sign language, |
Keyword(2) |
finger spelling recognition |
Keyword(3) |
convolutional neural networks |
Keyword(4) |
|
Keyword(5) |
|
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 |
Hana Hosoe |
2nd Author's Affiliation |
Nagoya Institute of Technology (NIT) |
3rd Author's Name |
Bogdan Kwolek |
3rd Author's Affiliation |
AGH University of Technology (AGH Univ. of Technology) |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2017-05-28 10:45:00 |
Presentation Time |
25 minutes |
Registration for |
WIT |
Paper # |
WIT2017-10 |
Volume (vol) |
vol.117 |
Number (no) |
no.66 |
Page |
pp.45-49 |
#Pages |
5 |
Date of Issue |
2017-05-20 (WIT) |
|