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| Presentation | 2023-05-19 14:00 Training Support System with Spatial Augmented Reality -- A Case Study of Cleaning Activity Training -- Mana Fukasawa (TUAT), Masayuki Mikuriya, Fumitoshi Ogino (DUSKIN Co., LTD.), Yu Nakayama (TUAT)  SeMI2023-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Spatial Augmented Reality (SAR) is a technology that adds information on physical surfaces using a projector or other means, and is often used in action support systems. In this study, we propose an action learning support system using SAR technology. The previous works have developed real-time interaction system using RGB and depth camera. However, there have been some privacy concerns of participants and calibration difficulties as regards using cameras. Additionally, while many systems have been proposed to improve skills by repeating targeted movements, no system has been investigated which promotes behavioral proficiency through various approaches. To address these issues, we employed sensor-based action recognition technology. This allows us to evaluate actions performed using tools, in addition to recognizing body movements using cameras as was previously done. Furthermore, by implementing multiple application modes, such as gaming mode that allow players to practice specific actions while having fun, we can promote comprehensive action skill acquisition. We focused on cleaning action training as a typical use case. By using an acceleration sensor and 2D-LiDARs for activity recognition and providing feedback through projection, we implemented a SAR system which promotes action skill improvement to evaluate its effectiveness. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | augmented reality / projection mapping / activity recognition / cyber-physical system / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 31, SeMI2023-15, pp. 64-69, May 2023. | |
| Paper # | SeMI2023-15 | |
| Date of Issue | 2023-05-11 (SeMI) | |
| ISSN | 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 | SeMI2023-15 |
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| Conference Information | |
| Committee | SeMI IPSJ-ITS IPSJ-MBL IPSJ-DPS |
| Conference Date | 2023-05-18 - 2023-05-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology (OIST) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2023-05-SeMI-ITS-MBL-DPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Training Support System with Spatial Augmented Reality |
| Sub Title (in English) | A Case Study of Cleaning Activity Training |
| Keyword(1) | augmented reality |
| Keyword(2) | projection mapping |
| Keyword(3) | activity recognition |
| Keyword(4) | cyber-physical system |
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| 1st Author's Name | Mana Fukasawa |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Masayuki Mikuriya |
| 2nd Author's Affiliation | DUSKIN Co., LTD. (DUSKIN Co., LTD.) |
| 3rd Author's Name | Fumitoshi Ogino |
| 3rd Author's Affiliation | DUSKIN Co., LTD. (DUSKIN Co., LTD.) |
| 4th Author's Name | Yu Nakayama |
| 4th Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
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| Speaker | Author-1 |
| Date Time | 2023-05-19 14:00:00 |
| Presentation Time | 15 minutes |
| Registration for | SeMI |
| Paper # | SeMI2023-15 |
| Volume (vol) | vol.123 |
| Number (no) | no.31 |
| Page | pp.64-69 |
| #Pages | 6 |
| Date of Issue | 2023-05-11 (SeMI) |
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