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Image Understanding and Knowledge-Based Systems

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Towards Automated Models of Activities of Daily Life (bibtex)
Towards Automated Models of Activities of Daily Life (bibtex)
by M Beetz, J Bandouch, D Jain and M Tenorth
Abstract:
We propose automated probabilistic models of everyday activities (AM-EvA) as a novel technical means for the perception, interpretation, and analysis of everyday manipulation tasks and activities of daily life. AM-EvAs are based on action-related concepts in everyday activities such as action-related places (the place where cups are taken from the cupboard), capabilities (the objects that can be picked up single-handedly), etc. These concepts are probabilistically derived from a set of previous activities that are fully and automatically observed by computer vision and additional sensor systems. AM-EvA models enable robots and technical systems to analyze activities in the complete situation and activity context. They render the classification and the assessment of actions and situations objective and can justify the probabilistic interpretation with respect to the activities the concepts have been learned from. In this paper, we describe the current state of implementation of the system that realizes this idea of automated models of everyday activities and show example results from the observation and analysis of table setting episodes.
Reference:
Towards Automated Models of Activities of Daily Life (M Beetz, J Bandouch, D Jain and M Tenorth), In First International Symposium on Quality of Life Technology – Intelligent Systems for Better Living, 2009. 
Bibtex Entry:
@inproceedings{beetz_towards_2009,
 author = {M Beetz and J Bandouch and D Jain and M Tenorth},
 title = {Towards Automated Models of Activities of Daily Life},
 booktitle = {First International Symposium on Quality of Life Technology – Intelligent
	Systems for Better Living},
 year = {2009},
 address = {Pittsburgh, Pennsylvania {USA}},
 abstract = {We propose automated probabilistic models of everyday activities ({AM-EvA)}
	as a novel technical means for the perception, interpretation, and
	analysis of everyday manipulation tasks and activities of daily life.
	{AM-EvAs} are based on action-related concepts in everyday activities
	such as action-related places (the place where cups are taken from
	the cupboard), capabilities (the objects that can be picked up single-handedly),
	etc. These concepts are probabilistically derived from a set of previous
	activities that are fully and automatically observed by computer
	vision and additional sensor systems. {AM-EvA} models enable robots
	and technical systems to analyze activities in the complete situation
	and activity context. They render the classification and the assessment
	of actions and situations objective and can justify the probabilistic
	interpretation with respect to the activities the concepts have been
	learned from. In this paper, we describe the current state of implementation
	of the system that realizes this idea of automated models of everyday
	activities and show example results from the observation and analysis
	of table setting episodes.},
}
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Informatik IX

Image Understanding and Knowledge-Based Systems

Boltzmannstrasse 3
85748 Garching

info@iuks.in.tum.de