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| Paper Abstract and Keywords | ||
| Presentation | 2018-03-09 11:40 A method for creating dining animation using reinforcement learning Takumi Hatakeyama, Masahiro Ura, Kazunori Miyata (JAIST)  IMQ2017-51 IE2017-143 MVE2017-93 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Dining has a great diversity and there is no correct answer. It differs from person to person, and depends on environment such as food and tableware. To create a dining animation, we should consider its variety. We consider that reinforcement learning is one solution to create various and complex animations without huge data collection. This study aims to create a dining animation using reinforcement learning, and evaluate its reality. In conclusion, we modeled the dining behavior. This study tried to generate part of the dining actions by means of reinforcement learning, and confirmed that reinforcement learning can generate human motions to carry a food into the mouth. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Dining / Reinforcement Learning / Creating Animation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 485, MVE2017-93, pp. 143-148, March 2018. | |
| Paper # | MVE2017-93 | |
| Date of Issue | 2018-03-01 (IMQ, IE, MVE) | |
| 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 | IMQ2017-51 IE2017-143 MVE2017-93 |
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| Conference Information | |
| Committee | CQ MVE IE IMQ |
| Conference Date | 2018-03-08 - 2018-03-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Five Senses Media, Cooking and Eating Activities Media, Multimedia, Media Experience, Video Encoding, Image Media Quality, Network Quality and Reliability, etc. (Co-sponsor: Technical Committee on Multimedia on Cooking and Eating Activities (CEA)) |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2018-03-CQ-MVE-IE-IMQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A method for creating dining animation using reinforcement learning |
| Sub Title (in English) | |
| Keyword(1) | Dining |
| Keyword(2) | Reinforcement Learning |
| Keyword(3) | Creating Animation |
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| 1st Author's Name | Takumi Hatakeyama |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 2nd Author's Name | Masahiro Ura |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 3rd Author's Name | Kazunori Miyata |
| 3rd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
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| Speaker | Author-1 |
| Date Time | 2018-03-09 11:40:00 |
| Presentation Time | 25 minutes |
| Registration for | MVE |
| Paper # | IMQ2017-51, IE2017-143, MVE2017-93 |
| Volume (vol) | vol.117 |
| Number (no) | no.483(IMQ), no.484(IE), no.485(MVE) |
| Page | pp.143-148 |
| #Pages | 6 |
| Date of Issue | 2018-03-01 (IMQ, IE, MVE) |
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