Presentation 2016-01-29
Human behavior prediction using network-graph based context model in mobile environment
Naoto Kawai, Ryoichi Shinkuma, Kazuhiro Yamaguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In general, human behaviors depend on contextual factors like location, time, day, and companions. Therefore, it has been studied to predict how people behaviors change dependently of contextual factors. This report proposes a new mathematical modeling method that uses the network graph representation and enables predicting context-based behaviors. In the research field where researchers discuss how to model context-based behaviors, the vector representation has been well used. However, it requires a huge amount of memory capacity and computational power. Therefore, in this report, we generate simulated behavior logs and using those logs, we will validate our method through the comparison with the conventional vector representation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) behavior prediction / context / network graph
Paper # MoNA2015-49
Date of Issue 2016-01-21 (MoNA)

Conference Information
Committee MICT / ASN / MoNA
Conference Date 2016/1/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hotel Okada
Topics (in Japanese) (See Japanese page)
Topics (in English) Ambient intelligence, ICT for Medical, Healthcare and Sports, etc
Chair Ryuji Kohno(Yokohama National Univ.) / Hiroshi Tohjo(NTT) / Hiroaki Morino(Shibaura Inst. of Tech.)
Vice Chair Masaru Sugimachi(National Cerebral and Cardiovascular Center) / Takahiro Aoyagi(Tokyo Inst. of Tech.) / Hiroo Sekiya(Chiba Univ.) / Hiraku Okada(Nagoya Univ.) / Kiyohito Yoshihara(KDDI R&D Labs.) / Ryoichi Shinkuma(Kyoto Univ.)
Secretary Masaru Sugimachi(NICT) / Takahiro Aoyagi(Nagoya Inst. of Tech.) / Hiroo Sekiya(Kanagawa Inst. of Tech.) / Hiraku Okada(NTT) / Kiyohito Yoshihara(KDDI R&D Labs.) / Ryoichi Shinkuma(Kumamoto Univ.)
Assistant Kohei Ohno(Meiji Univ.) / Keisuke Shima(Yokohama National Univ.) / Tomoko Tateyama(Ritsumeikan Univ.) / Yuichi Igarashi(Hitachi) / Katsuhiro Naito(Aichi Inst. of Tech.) / Kiyohiko Hattori(NICT) / Hiroshi Fujita(Fujitsu Labs.) / Takuro Yonezawa(Keio Univ.) / Yoshifumi Morihiro(NTT DoCoMo) / Hisashi Kurasawa(NTT) / Makoto Suzuki(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Healthcare and Medical Information Communication Technology / Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Mobile Network and Applications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Human behavior prediction using network-graph based context model in mobile environment
Sub Title (in English)
Keyword(1) behavior prediction
Keyword(2) context
Keyword(3) network graph
1st Author's Name Naoto Kawai
1st Author's Affiliation Kyoto University(Kyoto Univ.)
2nd Author's Name Ryoichi Shinkuma
2nd Author's Affiliation Kyoto University(Kyoto Univ.)
3rd Author's Name Kazuhiro Yamaguchi
3rd Author's Affiliation Kobe Digital Labo Inc(KDL)
Date 2016-01-29
Paper # MoNA2015-49
Volume (vol) vol.115
Number (no) MoNA-436
Page pp.pp.51-54(MoNA),
#Pages 4
Date of Issue 2016-01-21 (MoNA)