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Paper Abstract and Keywords
Presentation 2019-09-20 15:25
Analysis of Daily Activities and Intervention Acceptability Using Nonnegative Tensor Factorization
Masahiro Kohjima, Masami Takahashi, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda (NTT) LOIS2019-18 IE2019-31 EMM2019-75
Abstract (in Japanese) (See Japanese page) 
(in English) In order to improve people's lifestyles to prevent lifestyle-related diseases, it is important to understand not only the daily schedule but also the acceptability of interventions, such as taking dinner 30 minutes early. In this paper, we propose a new nonnegative tensor factorization method that can analyze collected activity logs and acceptability logs. The proposed method adopts convolutional transformation matrix into factorization form; it enable us to extract activity patterns and also to grasp correspondence of appearance time of each pattern. We show the result of the analysis using the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Healthcare / Lifestyle Diseases / Multiple Data Analysis / Nonnegative Tensor Factorization / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 205, LOIS2019-18, pp. 97-102, Sept. 2019.
Paper # LOIS2019-18 
Date of Issue 2019-09-12 (LOIS, IE, EMM) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
reproduction
技術研究報告に掲載された論文の著作権はIEICEに帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2019-18 IE2019-31 EMM2019-75

Conference Information
Committee IE EMM LOIS IEE-CMN ITE-ME IPSJ-AVM  
Conference Date 2019-09-19 - 2019-09-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokimeito, Niigata University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2019-09-IE-EMM-LOIS-CMN-ME-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Daily Activities and Intervention Acceptability Using Nonnegative Tensor Factorization 
Sub Title (in English)  
Keyword(1) Healthcare  
Keyword(2) Lifestyle Diseases  
Keyword(3) Multiple Data Analysis  
Keyword(4) Nonnegative Tensor Factorization  
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1st Author's Name Masahiro Kohjima  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Masami Takahashi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Takeshi Kurashima  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Tatsushi Matsubayashi  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Hiroyuki Toda  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker
Date Time 2019-09-20 15:25:00 
Presentation Time 25 
Registration for LOIS 
Paper # IEICE-LOIS2019-18,IEICE-IE2019-31,IEICE-EMM2019-75 
Volume (vol) IEICE-119 
Number (no) no.205(LOIS), no.206(IE), no.207(EMM) 
Page pp.97-102 
#Pages IEICE-6 
Date of Issue IEICE-LOIS-2019-09-12,IEICE-IE-2019-09-12,IEICE-EMM-2019-09-12 


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