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| Presentation | 2018-12-25 17:00 Detection of user's movement state using rotation vector sensor in indoor PDR for disaster relief Masaki Nishizaka, Hiroaki Morino (SIT)  MoNA2018-55 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | It is important to quickly rescue the requisite rescuers in the building after a large-scale disaster such as an earthquake. Under such circumstances, if evacuation routes of evacuees in buildings can be recorded in the evacuees’ smartphones and provided to the rescue team, it will be helpful in the rescuer's rescue activities. For this purpose, PDR(Personal Dead Reckoning) would be useful, performing localization without relying on communication systems by using the smartphone’s acceleration sensor, gyrosensor, air pressure sensor and so on. When focusing on detecting turn actions in PDR, existing studies use gyrosensor , which is known to correctly detect turn actions only when the terminal attitude does not largely change. The detection accuracy degrades when the terminal attitude largely changes during movements, when the smartphones are put in the front pocket of the trousers for example. To solve this problem, in this paper, a rotation vector sensor is newly introduced to be used with a gyrosensor for correctly estimating the turn action as well as distinguishing the moving state of the user at each time even in the case where the smartphone is held in a pocket of the trousers. As a result of performance evaluation, it was shown that the accuracy of movement of the user was more than 89% . | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | SmartPhone / Pedestrian Dead Reckoning / Rotation vector sensor / Moving state estimation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 378, MoNA2018-55, pp. 95-99, Dec. 2018. | |
| Paper # | MoNA2018-55 | |
| Date of Issue | 2018-12-18 (MoNA) | |
| 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 | MoNA2018-55 |
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| Conference Information | |
| Committee | MoNA |
| Conference Date | 2018-12-25 - 2018-12-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | MoNA |
| Conference Code | 2018-12-MoNA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of user's movement state using rotation vector sensor in indoor PDR for disaster relief |
| Sub Title (in English) | |
| Keyword(1) | SmartPhone |
| Keyword(2) | Pedestrian Dead Reckoning |
| Keyword(3) | Rotation vector sensor |
| Keyword(4) | Moving state estimation |
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| 1st Author's Name | Masaki Nishizaka |
| 1st Author's Affiliation | Shibaura Institute of Technology (SIT) |
| 2nd Author's Name | Hiroaki Morino |
| 2nd Author's Affiliation | Shibaura Institute of Technology (SIT) |
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| Speaker | Author-1 |
| Date Time | 2018-12-25 17:00:00 |
| Presentation Time | 20 minutes |
| Registration for | MoNA |
| Paper # | MoNA2018-55 |
| Volume (vol) | vol.118 |
| Number (no) | no.378 |
| Page | pp.95-99 |
| #Pages | 5 |
| Date of Issue | 2018-12-18 (MoNA) |
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