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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Conference Information
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