Skip to Main content Skip to Navigation
Conference papers

Deterministic and Probabilistic Implementation of Context

Oliver Brdiczka 1 Patrick Reignier 1 James L. Crowley 1 Dominique Vaufreydaz 1 Jérôme Maisonnasse 1
1 PRIMA - Perception, recognition and integration for observation of activity
Inria Grenoble - Rhône-Alpes, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble , CNRS - Centre National de la Recherche Scientifique : UMR5217
Abstract : This paper addresses the problem of implementing an abstract context model. First, the abstract context model is represented by a network of situations. Two different implementations for the situation model are then proposed: a deterministic one based on Petri nets and a probabilistic one based on Hidden Markov Models. Both implementations are illustrated and applied to real-world problems.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download
https://hal.inria.fr/inria-00326530
Contributor : Dominique Vaufreydaz <>
Submitted on : Friday, October 3, 2008 - 12:45:48 PM
Last modification on : Tuesday, November 27, 2018 - 8:46:04 PM
Document(s) archivé(s) le : Thursday, June 3, 2010 - 9:28:12 PM

File

Vignette du document
Brdiczka06a.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00326530, version 1

Collections

CNRS | INRIA | UGA | LIG | LIG_SIC | LIG_SIC_PRIMA | TDS-MACS

Citation

Oliver Brdiczka, Patrick Reignier, James L. Crowley, Dominique Vaufreydaz, Jérôme Maisonnasse. Deterministic and Probabilistic Implementation of Context. IEEE International Conference on Pervasive Computing and Communications Workshops, Mar 2006, Pisa, Italy. 5 p. ⟨inria-00326530⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

356

Files downloads

313

 

Contact                    Legal Notice                    Personal Data