Presentation 2015-03-05
A "a big day" search method using features of staying place
Keigo HAYASHI, Sunao HARA, Masanobu ABE,
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Abstract(in English) In recent years, a life log is getting popular and used to provide specific services for a particular person. One of them is to retrieve memories. Life log helps us to recall events, activities, accidents, etc., but the huge amount of data in life log make it difficult for us to find out what we really want. In this paper, we propose a method to retrieve "a big day" using a feature value that is calculated from GPS data; i.e., the feature is defined as function of visiting frequency of places. According to experiments results, the proposed method can retrieve "a big day" at a rate of 60% and unusual day at a rate of 90%. As subjective evaluations were also carried out from the perspective of effectiveness, efficiency and satisfaction. The results showed that the proposal method has better performance than a conventional method.
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Keyword(in English) GPS data / visiting place / a big day
Paper # LOIS2014-76
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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) A "a big day" search method using features of staying place
Sub Title (in English)
Keyword(1) GPS data
Keyword(2) visiting place
Keyword(3) a big day
1st Author's Name Keigo HAYASHI
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 # LOIS2014-76
Volume (vol) vol.114
Number (no) 500
Page pp.pp.-
#Pages 6
Date of Issue