Combining Multiple Sensors for Event Recognition of Older People

Abstract : We herein present a hierarchical model-based framework for event recognition using multiple sensors. Event models combine a priori knowledge of the scene (3D geometric and semantic information, such as contextual zones and equipments) with moving objects (e.g., a Person) detected by a monitoring system. The event models follow a generic ontology based on natural language; which allows domain experts to easily adapt them. The framework novelty relies on combining multiple sensors (heterogeneous and homogeneous) at decision level explicitly or implicitly by handling their conflict using a probabilistic approach. The implicit event conflict handling works by computing the event reliabilities for each sensor, and then combine them using Dempster-Shafer Theory. The multi-sensor system is evaluated using multi-modal recording of instrumental daily living activities (e.g., watching TV, writing a check, preparing tea, organizing the week intake of prescribed medication) of participants of a clinical study of Alzheimer's disease. The evaluation presents the preliminary results of this approach on two cases: the combination of events from heterogeneous sensors (a RGB camera and a wearable inertial sensor); and the combination of conflicting events from video cameras with a partially overlapped field of view (a RGB- and a RGB-D-camera). The results show the framework improves the event recognition rate in both cases.
Type de document :
Communication dans un congrès
MIIRH - 1st ACM MM Workshop on Multimedia Indexing and information Retrieval for Healthcare - 2013, Oct 2013, Barcelona, Spain. ACM, pp.15-22, 2013, MIIRH '13: Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare. 〈10.1145/2505323.2505329〉
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00907033
Contributeur : Carlos Crispim <>
Soumis le : mercredi 20 novembre 2013 - 16:42:44
Dernière modification le : mardi 24 juillet 2018 - 15:48:06
Document(s) archivé(s) le : vendredi 21 février 2014 - 04:33:56

Fichier

CrispimEtAl_ACM_MM_MIRTH2013_H...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Carlos Fernando Crispim-Junior, Qiao Ma, Baptiste Fosty, Rim Romdhane, François Bremond, et al.. Combining Multiple Sensors for Event Recognition of Older People. MIIRH - 1st ACM MM Workshop on Multimedia Indexing and information Retrieval for Healthcare - 2013, Oct 2013, Barcelona, Spain. ACM, pp.15-22, 2013, MIIRH '13: Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare. 〈10.1145/2505323.2505329〉. 〈hal-00907033〉

Partager

Métriques

Consultations de la notice

336

Téléchargements de fichiers

306