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# Technical University of Munich

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{beetz09qlts,
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},
bib2html_pubtype = {Conference Paper},
bib2html_rescat = {Learning,Models,Planning,Perception,Knowledge,Reasoning,Representation},
bib2html_groups = {Memoman,K4C,ProbCog},
bib2html_funding = {CoTeSys},
bib2html_domain = {Assistive Household},
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.},
}