Paper Abstract and Keywords |
Presentation |
2022-03-08 10:25
Multi-user Recognition and Identification System using Multiple Sensors in Indoor Environments Atsuki Tanaka, Yuto Lim, Yasuo Tan (JAIST) SeMI2021-89 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the proliferation of various sensor devices in the era of Internet of Things (IoT), there has been a lot of researches in user identification for indoor environments. With the spread of various sensor devices, multi-user identification research actively carries out for the IoT applications, such as healthcare, nursing care, and so on. In order to identify multiple users (or subjects) in a time series, it is essential to develop advanced identification system with multiple sensors as sensor group. In this study, we first propose four algorithms for tracking detection and personal identification to distinguish two subjects’ position and identity in the timely manner. The simulation and experimental results reveal that the proposed identification system improves the accuracy of personal detection and identification. The evaluation of the proposed system for two subjects’ interaction scenario is also further investigated. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Sensor Group / Multiple People / Location Estimation / Personal Identification / Recognition and Identification System / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 411, SeMI2021-89, pp. 35-40, March 2022. |
Paper # |
SeMI2021-89 |
Date of Issue |
2022-02-28 (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) |
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SeMI2021-89 |
Conference Information |
Committee |
SeMI IPSJ-MBL IPSJ-UBI |
Conference Date |
2022-03-07 - 2022-03-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
SeMI |
Conference Code |
2022-03-SeMI-MBL-UBI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Multi-user Recognition and Identification System using Multiple Sensors in Indoor Environments |
Sub Title (in English) |
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Keyword(1) |
Sensor Group |
Keyword(2) |
Multiple People |
Keyword(3) |
Location Estimation |
Keyword(4) |
Personal Identification |
Keyword(5) |
Recognition and Identification System |
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1st Author's Name |
Atsuki Tanaka |
1st Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
2nd Author's Name |
Yuto Lim |
2nd Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
3rd Author's Name |
Yasuo Tan |
3rd Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
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Speaker |
Author-1 |
Date Time |
2022-03-08 10:25:00 |
Presentation Time |
25 minutes |
Registration for |
SeMI |
Paper # |
SeMI2021-89 |
Volume (vol) |
vol.121 |
Number (no) |
no.411 |
Page |
pp.35-40 |
#Pages |
6 |
Date of Issue |
2022-02-28 (SeMI) |
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