Presentation 2005/10/11
Causality based Probabilistic Structure Modeling for Daily Life Support
Yoichi MOTOMURA, Yoshifumi NISHIDA,
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Abstract(in English) We introduce our research project on behavior understanding for daily support. Causality based probabilistic modeling is proposed and it is applied for children's behavior understanding. We construct children's behavior models, situational models, and accident models for simulating children's accidents in houses. We can use the simulation for educational purpose for preventing children's accidents.
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Keyword(in English) Bayesian network / Statistical Learning / Probabilistic reasoning / Prevent accidents / Human modeling
Paper # NC2005-46
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Committee NC
Conference Date 2005/10/11(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Causality based Probabilistic Structure Modeling for Daily Life Support
Sub Title (in English)
Keyword(1) Bayesian network
Keyword(2) Statistical Learning
Keyword(3) Probabilistic reasoning
Keyword(4) Prevent accidents
Keyword(5) Human modeling
1st Author's Name Yoichi MOTOMURA
1st Author's Affiliation AIST, Digital Human Research Center()
2nd Author's Name Yoshifumi NISHIDA
2nd Author's Affiliation AIST, Digital Human Research Center
Date 2005/10/11
Paper # NC2005-46
Volume (vol) vol.105
Number (no) 342
Page pp.pp.-
#Pages 6
Date of Issue