Paper Abstract and Keywords |
Presentation |
2011-03-04 14:20
Localization Using Array Sensor Based on Extended Dimension of Signal Subspace with Support Vector Machine Shun Kawakami, Jihoon Hong, Tomoaki Ohtsuki (Keio Univ.) RCS2010-311 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have proposed an indoor monitoring system based on array signal processing using electric waves, called array sensor. This system detects human activities for temporal change of features obtained by array signal
processing. The advantages of this system are not abusing privacy, detecting events over wide range and non–line-of-sight (NLOS) because the electric waves propagate a whole room for reflection and diffraction. The geometry of array antenna used for receiver and frequency or bandwidth of radio waves are constraint-free, then it can be used simply. Moreover, we have reported the array sensor system can discriminate complicated human activities by using support vector machine (SVM) that is one of the machine learning attracting recently. However, although the conventional method can detect human activities, it is difficult to localize in detail where the human is. In this report, we propose localization system for the array sensor system by extending dimension of signal subspace with multiple transmitters and spatial smoothing processing (SSP). Experimental results show that the proposed system improves localization accuracy dramatically by using multiple cost functions based on eigenvectors and eigenvalues as features of SVM. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
localization / array antenna / monitoring / support vector machine / spatial smoothing processing / / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 433, RCS2010-311, pp. 367-372, March 2011. |
Paper # |
RCS2010-311 |
Date of Issue |
2011-02-23 (RCS) |
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) |
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RCS2010-311 |
Conference Information |
Committee |
RCS MoNA SR |
Conference Date |
2011-03-02 - 2011-03-04 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
YRP |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mobile Communication Workshop |
Paper Information |
Registration To |
RCS |
Conference Code |
2011-03-RCS-MoMuC-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Localization Using Array Sensor Based on Extended Dimension of Signal Subspace with Support Vector Machine |
Sub Title (in English) |
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localization |
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array antenna |
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monitoring |
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support vector machine |
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spatial smoothing processing |
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1st Author's Name |
Shun Kawakami |
1st Author's Affiliation |
Keio University (Keio Univ.) |
2nd Author's Name |
Jihoon Hong |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
3rd Author's Name |
Tomoaki Ohtsuki |
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Keio University (Keio Univ.) |
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Speaker |
Author-1 |
Date Time |
2011-03-04 14:20:00 |
Presentation Time |
20 minutes |
Registration for |
RCS |
Paper # |
RCS2010-311 |
Volume (vol) |
vol.110 |
Number (no) |
no.433 |
Page |
pp.367-372 |
#Pages |
6 |
Date of Issue |
2011-02-23 (RCS) |
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