Paper Abstract and Keywords |
Presentation |
2016-08-18 16:40
Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device Yuji Watanabe, Sara San (Nagoya City Univ.) BioX2016-12 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In our previous study, we collected gait data using an Android application when 8 subjects walked in the following 5 walking states: 1) in the pocket, 2) holding the phone to the ear, and 3) looking on the screen, 4) going upstairs, and 5) going downstairs. We extracted 43 features from the acceleration data of all the recorded gait data, and then identified subject using some machine learning algorithms. However, we have not yet carefully examined the necessity of the 43 features. In this study, using the application, we first collect gait data for 15 subjects in the 5 walking states. From the 3-axes accelerometer data, we extract 52 features adding 9 features of maximum, minimum, and energy for each axis to the 43 features, and then select the subset of the 52 features with small number and high accuracy. The result shows that the accuracies of going upstairs and downstairs are improved by the feature selection. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Gait Recognition / Android Device / Feature Selection / Behavior-based Feature / Biometrics / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 182, BioX2016-12, pp. 27-32, Aug. 2016. |
Paper # |
BioX2016-12 |
Date of Issue |
2016-08-11 (BioX) |
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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BioX2016-12 |
Conference Information |
Committee |
BioX |
Conference Date |
2016-08-18 - 2016-08-19 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Topics (in English) |
Biometrics, etc. |
Paper Information |
Registration To |
BioX |
Conference Code |
2016-08-BioX |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device |
Sub Title (in English) |
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Gait Recognition |
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Android Device |
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Feature Selection |
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Behavior-based Feature |
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Biometrics |
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1st Author's Name |
Yuji Watanabe |
1st Author's Affiliation |
Nagoya City University (Nagoya City Univ.) |
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Sara San |
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Nagoya City University (Nagoya City Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-08-18 16:40:00 |
Presentation Time |
25 minutes |
Registration for |
BioX |
Paper # |
BioX2016-12 |
Volume (vol) |
vol.116 |
Number (no) |
no.182 |
Page |
pp.27-32 |
#Pages |
6 |
Date of Issue |
2016-08-11 (BioX) |
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