Presentation 2014-11-21
Estimating situations of a room using presence sensing log
Yuki KASHIO, Shinsuke MATSUMOTO, Sachio SAIKI, Masahide NAKAMURA,
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Abstract(in English) In the home network system (HNS), the advanced services can be provided by using human presence. In our previous research, we have proposed Continuous Presence Sensor Service Framework (CPSSF). CPSSF is a framework which estimates and provides human presence in houses. CPSSF stores presence likelihood, which express whether human is in near sensors, in database (presence log). However, use case and the efficiency of presence log are not have been discussed previously. In this paper, we discuss the method of estimating situation of rooms by using machine learning as one of the use case of presence log. Furthermore, we also discuss some services which uses estimating situation of rooms.
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Keyword(in English) presence sensing / home network system / presence log / Web services / infrared sensors / decision tree
Paper # ISEC2014-60,SITE2014-51,LOIS2014-30
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Conference Date 2014/11/14(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Estimating situations of a room using presence sensing log
Sub Title (in English)
Keyword(1) presence sensing
Keyword(2) home network system
Keyword(3) presence log
Keyword(4) Web services
Keyword(5) infrared sensors
Keyword(6) decision tree
1st Author's Name Yuki KASHIO
1st Author's Affiliation Kobe University()
2nd Author's Name Shinsuke MATSUMOTO
2nd Author's Affiliation Kobe University
3rd Author's Name Sachio SAIKI
3rd Author's Affiliation Kobe University
4th Author's Name Masahide NAKAMURA
4th Author's Affiliation Kobe University
Date 2014-11-21
Paper # ISEC2014-60,SITE2014-51,LOIS2014-30
Volume (vol) vol.114
Number (no) 321
Page pp.pp.-
#Pages 6
Date of Issue