POSSIBILISTIC ACTIVITY RECOGNITION

Patrice C. Roy, Bruno Bouchard, Abdenour Bouzouane, Sylvain Giroux

Abstract

The development towards ambient computing will stimulate research in many fields of artificial intelligence, such as activity recognition. To address this challenging issue, we present a formal activity recognition framework based on possibility theory, which is largely different from the majority of all recognition approaches proposed that are usually based on probability theory. To validate this novel alternative, we are developing an ambient agent for the cognitive assistance of an Alzheimer’s patient within a smart home, in order to identify the various ways of supporting him in carrying out his activities of daily living.

References

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Paper Citation


in Harvard Style

C. Roy P., Bouchard B., Bouzouane A. and Giroux S. (2010). POSSIBILISTIC ACTIVITY RECOGNITION . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 184-189. DOI: 10.5220/0002701801840189


in Bibtex Style

@conference{icaart10,
author={Patrice C. Roy and Bruno Bouchard and Abdenour Bouzouane and Sylvain Giroux},
title={POSSIBILISTIC ACTIVITY RECOGNITION},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={184-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002701801840189},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - POSSIBILISTIC ACTIVITY RECOGNITION
SN - 978-989-674-021-4
AU - C. Roy P.
AU - Bouchard B.
AU - Bouzouane A.
AU - Giroux S.
PY - 2010
SP - 184
EP - 189
DO - 10.5220/0002701801840189