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| Paper Abstract and Keywords | ||
| Presentation | 2017-07-28 09:50 Human Moving Pattern Recognition Based on Communication Quality Using Mobile Sensing and Machine Learning Wataru Kawakami, Kenji Kanai, Wei Bo, Jiro Katto (Waseda Univ.)  CS2017-34 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we recognized human moving patterns based on communication quality, such as cellular download throughputs, Received Signal Strength Indicators (RSSIs) and cellular base station IDs. To construct classifier, we apply three machine learning algorithms, such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Random Forest (RF). Evaluation results conclude that the communication quality, especially cellular base station IDs, contribute to recognition of moving patterns with high accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Human activity recognition / Mobile sensing / Communication quality / Machine learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 156, CS2017-34, pp. 111-116, July 2017. | |
| Paper # | CS2017-34 | |
| Date of Issue | 2017-07-20 (CS) | |
| 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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | CS2017-34 |
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| Conference Information | |
| Committee | CS |
| Conference Date | 2017-07-27 - 2017-07-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukue Bunka Kaikan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Next generation networks, access network, broadband access system, power-line communications, wireless communication systems, coding system, etc. |
| Paper Information | |
| Registration To | CS |
| Conference Code | 2017-07-CS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Human Moving Pattern Recognition Based on Communication Quality Using Mobile Sensing and Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Human activity recognition |
| Keyword(2) | Mobile sensing |
| Keyword(3) | Communication quality |
| Keyword(4) | Machine learning |
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| 1st Author's Name | Wataru Kawakami |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Kenji Kanai |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Wei Bo |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Jiro Katto |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-07-28 09:50:00 |
| Presentation Time | 25 minutes |
| Registration for | CS |
| Paper # | CS2017-34 |
| Volume (vol) | vol.117 |
| Number (no) | no.156 |
| Page | pp.111-116 |
| #Pages | 6 |
| Date of Issue | 2017-07-20 (CS) |
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