Human Activity Recognition Using Place-Based Decision Fusion in Smart Homes

Julien Cumin 1, 2 Grégoire Lefebvre 2 Fano Ramparany 2 James Crowley 1
1 PERVASIVE INTERACTION
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 Orange Labs [Grenoble]
Abstract : This paper describes the results of experiments where information about places is used in the recognition of activities in the home. We explore the use of place-specific activity recognition trained with supervised learning, coupled with a decision fusion step, for recognition of activities in the Opportunity dataset. Our experiments show that using place information to control recognition can substantially improve both the error rates and the computation cost of activity recognition compared to classical approaches where all sensors are used and all activities are possible. The use of place information for controlling recognition gives an F1 classification score of 92.70% ± 1.26%, requiring on average only 73 milliseconds of computing time per instance of activity. These experiments demonstrate that organizing activity recognition with place-based context models can provide a scalable approach for building context-aware services based on activity recognition in smart home environments .
Keywords : smart home human activity recognition machine learning context
Type de document :
Communication dans un congrès
Patrick Brézillon; Roy Turner; Carlo Penco. 10th International and Interdisciplinary Conference, CONTEXT 2017, Jun 2017, Paris, France. Springer Verlag, Lecture Notes in Computer Science, 10257, pp.137 - 150, 2017, Modeling and Using Context. 〈http://context17.lip6.fr/〉. 〈10.1145/1865987.1866010〉
Liste complète des métadonnées

Littérature citée [14 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01555334
Contributeur : Julien Cumin <>
Soumis le : mardi 4 juillet 2017 - 09:13:25
Dernière modification le : jeudi 11 octobre 2018 - 08:48:05
Document(s) archivé(s) le : jeudi 14 décembre 2017 - 21:44:25

Fichier

paper_context.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

INRIA2017 | INRIA | LIG_SRCPR | UGA | LIG | LIG-SIC-PERVASIVE-INTERACTION

Citation

Julien Cumin, Grégoire Lefebvre, Fano Ramparany, James Crowley. Human Activity Recognition Using Place-Based Decision Fusion in Smart Homes. Patrick Brézillon; Roy Turner; Carlo Penco. 10th International and Interdisciplinary Conference, CONTEXT 2017, Jun 2017, Paris, France. Springer Verlag, Lecture Notes in Computer Science, 10257, pp.137 - 150, 2017, Modeling and Using Context. 〈http://context17.lip6.fr/〉. 〈10.1145/1865987.1866010〉. 〈hal-01555334〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

258

Téléchargements de fichiers

327

Contact


archive-ouverte@inria.fr