Paper Abstract and Keywords |
Presentation |
2018-03-03 15:25
A Training Environment with Sharing Teaching Video and Sensor for Learner to Recognize Elite Motion Akira Nakahara, Kosuke Hasui, Takuya Ishioka, Naka Gotoda (Kagawa Univ.), Takayuki Kunieda (RICHO), Kenji Matsuura, Stephen Karungaru (Tokushima Univ.), Yusuke Kometani, Toshihiro Hayashi, Rihito Yaegashi (Kagawa Univ.) ET2017-101 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, there is an increase in the opportunity of sharing teaching videos by elite. Learner become easily practice by oneself using these videos. Usual physical learning by videos difficult learner to recognize motion gap for lack of interactive guidance. Therefore, in this research we propose a training environment to recognize motion gap between learner and elite. As a method gap of sensor data elite and learner feedback to teaching video for learner. We aim for more efficient learning than usual learning by watching teaching video. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
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Reference Info. |
IEICE Tech. Rep., vol. 117, no. 469, ET2017-101, pp. 71-76, March 2018. |
Paper # |
ET2017-101 |
Date of Issue |
2018-02-24 (ET) |
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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ET2017-101 |
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