Paper Abstract and Keywords |
Presentation |
2017-09-16 09:45
Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data Toru Takeyama, Kiyoshi Kogure (KIT) PRMU2017-58 IBISML2017-30 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have experimentally evaluated how the performance of activity recognition from acceleration data depends on the way of extracting features using denoising autoencoders. The experimental results show that when each of stacked denoising autoencoders is given 3-axis acceleration data from a body part, the accuracy of classification using their output features changes saliently according to the number of nodes in each of their output layers and that when a stacked denoising autoencoder is given 3-axis acceleration data from six body parts, the accuracy of classification monotonically increases with the increasing number of nodes in its output layer as long as the number is less than or equal to the number of nodes in its input layer. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
activity recognition / acceleration / feature extraction / denoising autoencoder / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 210, PRMU2017-58, pp. 161-166, Sept. 2017. |
Paper # |
PRMU2017-58 |
Date of Issue |
2017-09-08 (PRMU, IBISML) |
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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PRMU2017-58 IBISML2017-30 |
Conference Information |
Committee |
PRMU IBISML IPSJ-CVIM |
Conference Date |
2017-09-15 - 2017-09-16 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2017-09-PRMU-IBISML-CVIM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data |
Sub Title (in English) |
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Keyword(1) |
activity recognition |
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acceleration |
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feature extraction |
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denoising autoencoder |
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1st Author's Name |
Toru Takeyama |
1st Author's Affiliation |
Kanazawa Institute of Technology (KIT) |
2nd Author's Name |
Kiyoshi Kogure |
2nd Author's Affiliation |
Kanazawa Institute of Technology (KIT) |
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Speaker |
Author-1 |
Date Time |
2017-09-16 09:45:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2017-58, IBISML2017-30 |
Volume (vol) |
vol.117 |
Number (no) |
no.210(PRMU), no.211(IBISML) |
Page |
pp.161-166 |
#Pages |
6 |
Date of Issue |
2017-09-08 (PRMU, IBISML) |
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