Presentation 2015-03-05
Behavior analysis of persons by classification of moving routes
Ryo SETO, Sunao HARA, Masanobu ABE,
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Abstract(in English) In this paper, we propose a method to behavior analysis of persons using GPS data to focus on how human have activity. We evaluated whether or not judging a person is active or not from moving routes data using PCA or NMF classification approach. The evaluation results show that the number of important eigenvalues by PCA and approximation error by NMF is effective whether the person is active or not. In addition, we extracted the pattern of moving routes and we evaluated the difference of moving routes extracted by PCA or NMF. As a result, PCA extracted high frequency patterns. On the other hand, NMF extracted not only high frequency patterns but also low frequency patterns.
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Keyword(in English) location information (GPS data) / Geohash / PCA / NMF / pattern classification
Paper # LOIS2014-66
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Committee LOIS
Conference Date 2015/2/26(1days)
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Registration To Life Intelligence and Office Information Systems (LOIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Behavior analysis of persons by classification of moving routes
Sub Title (in English)
Keyword(1) location information (GPS data)
Keyword(2) Geohash
Keyword(3) PCA
Keyword(4) NMF
Keyword(5) pattern classification
1st Author's Name Ryo SETO
1st Author's Affiliation Graduate school of Natural Science and Technology, Okayama University()
2nd Author's Name Sunao HARA
2nd Author's Affiliation Graduate school of Natural Science and Technology, Okayama University
3rd Author's Name Masanobu ABE
3rd Author's Affiliation Graduate school of Natural Science and Technology, Okayama University
Date 2015-03-05
Paper # LOIS2014-66
Volume (vol) vol.114
Number (no) 500
Page pp.pp.-
#Pages 6
Date of Issue