Paper Abstract and Keywords |
Presentation |
2017-03-07 13:00
Classification of In-week and -day Patterns of Ambulatory Activity Using a Hierarchical Topic Model and Interpolation of Step Counts in Missing Days Shunichi Nomura (Tokyo Tech.), Michiko Watanabe, Yuko Oguma (Keio Univ.) IBISML2016-109 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, we extract in-week and -day patterns of ambulatory activity based on hourly recorded step counts. A hierarchical topic model with in-week patterns as super-topics and in-day patterns as sub-topics is applied to hourly recorded step counts per week, regarded as a bag of words. In addition, we propose a method to interpolate step counts and activity patterns in missing days by fitting the estimated topics. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Hierarchical topic model / Activity meter / Activity patterns / Interpolation of missing data / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 500, IBISML2016-109, pp. 71-76, March 2017. |
Paper # |
IBISML2016-109 |
Date of Issue |
2017-02-27 (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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IBISML2016-109 |
Conference Information |
Committee |
IBISML |
Conference Date |
2017-03-06 - 2017-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Statistical Mathematics, Machine Learning, Data Mining, etc. |
Paper Information |
Registration To |
IBISML |
Conference Code |
2017-03-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Classification of In-week and -day Patterns of Ambulatory Activity Using a Hierarchical Topic Model and Interpolation of Step Counts in Missing Days |
Sub Title (in English) |
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Keyword(1) |
Hierarchical topic model |
Keyword(2) |
Activity meter |
Keyword(3) |
Activity patterns |
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Interpolation of missing data |
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1st Author's Name |
Shunichi Nomura |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Tech.) |
2nd Author's Name |
Michiko Watanabe |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
3rd Author's Name |
Yuko Oguma |
3rd Author's Affiliation |
Keio University (Keio Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-03-07 13:00:00 |
Presentation Time |
30 minutes |
Registration for |
IBISML |
Paper # |
IBISML2016-109 |
Volume (vol) |
vol.116 |
Number (no) |
no.500 |
Page |
pp.71-76 |
#Pages |
6 |
Date of Issue |
2017-02-27 (IBISML) |
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