Paper Abstract and Keywords |
Presentation |
2013-03-14 10:40
Training system for learning finger alphabets with feedback functions Daisuke Takabayashi, Yasuhiro Ohkawa (Univ. of Tsukuba), Kohei Setoyama, Yoto Tanaka, Nobuko Kato, Akio Okazaki (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) HIP2012-90 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We developed training system for learning finger spellings with feedback functions.
Our system can classify 41 kinds of finger spellings with high accuracy in real-time. It has useful feedback function, detect slight difference between collect and false shape and return direction. Recognition of hands shape with high accuracy is realized by applying KOMSM to sequential depth. The effectiveness of our system is demonstrated through several experimental results. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
finger spellings / recognition of hand shape / feedback / depth map / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 483, HIP2012-90, pp. 79-84, March 2013. |
Paper # |
HIP2012-90 |
Date of Issue |
2013-03-06 (HIP) |
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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HIP2012-90 |
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