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| Presentation | 2017-10-12 10:30 Indoor Area Estimation Using Convolutional Neural Network with Spectrogram of Environmental Ultrasound Tatsuro Tsuchiya, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.)  PRMU2017-69 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Active methods for indoor position estimation have been proposed which are based on signal strength or propagation time of radio waves or ultrasounds. Those methods require transmitters to be installed in target areas. This paper proposes a passive method for indoor area estimation where a prediction model is constructed by a convolution neural network based on spectrogram of environmental ultrasound. No new transmitting devices are required in the method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Spectrogram / ultrasound / Indoor Area Estimation / Convolutional Neural Network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 238, PRMU2017-69, pp. 37-42, Oct. 2017. | |
| Paper # | PRMU2017-69 | |
| Date of Issue | 2017-10-05 (PRMU) | |
| 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 | PRMU2017-69 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2017-10-12 - 2017-10-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2017-10-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Indoor Area Estimation Using Convolutional Neural Network with Spectrogram of Environmental Ultrasound |
| Sub Title (in English) | |
| Keyword(1) | Spectrogram |
| Keyword(2) | ultrasound |
| Keyword(3) | Indoor Area Estimation |
| Keyword(4) | Convolutional Neural Network |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Tatsuro Tsuchiya |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Takeshi Umezawa |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Noritaka Osawa |
| 3rd Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-10-12 10:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2017-69 |
| Volume (vol) | vol.117 |
| Number (no) | no.238 |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2017-10-05 (PRMU) |
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