Paper Abstract and Keywords |
Presentation |
2020-05-29 16:10
Gait identification and authentication using LSTM based on 3-axis acceleration of smartphone Yuji Watanabe, Masaki Kimura (Nagoya City Univ.) SIP2020-12 BioX2020-12 IE2020-12 MI2020-12 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Gait identification and authentication are performed using recurrent neural networks and LSTM (Long Short-Term Memory) for 3-axis acceleration during walking obtained with a smartphone. First, the acceleration on walking for 21 subjects is recorded in two holding situations with the smartphone in the pocket or while looking at the screen. The acceleration is directly input to the LSTM to learn and perform identification and authentication. It was confirmed that the identification using LSTM has better performance than the conventional method of extracting features. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Gait Authentication / LSTM / Smart Phone / 3-Axis Acceleration / Biometrics / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 37, BioX2020-12, pp. 55-60, May 2020. |
Paper # |
BioX2020-12 |
Date of Issue |
2020-05-21 (SIP, BioX, IE, MI) |
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) |
Download PDF |
SIP2020-12 BioX2020-12 IE2020-12 MI2020-12 |
Conference Information |
Committee |
MI IE SIP BioX ITE-IST ITE-ME |
Conference Date |
2020-05-28 - 2020-05-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image and signal processing/analysis/AI technology, and their application |
Paper Information |
Registration To |
BioX |
Conference Code |
2020-05-MI-IE-SIP-BioX-IST-ME |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Gait identification and authentication using LSTM based on 3-axis acceleration of smartphone |
Sub Title (in English) |
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Gait Authentication |
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LSTM |
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Smart Phone |
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3-Axis Acceleration |
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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.) |
2nd Author's Name |
Masaki Kimura |
2nd Author's Affiliation |
Nagoya City University (Nagoya City Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-05-29 16:10:00 |
Presentation Time |
20 minutes |
Registration for |
BioX |
Paper # |
SIP2020-12, BioX2020-12, IE2020-12, MI2020-12 |
Volume (vol) |
vol.120 |
Number (no) |
no.38(SIP), no.37(BioX), no.39(IE), no.40(MI) |
Page |
pp.55-60 |
#Pages |
6 |
Date of Issue |
2020-05-21 (SIP, BioX, IE, MI) |
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