Primary investigation of sound recognition for a domotic application using support vector machines - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Primary investigation of sound recognition for a domotic application using support vector machines

Résumé

The advent of modern communications and the low cost of some kinds of devices have resulted in a desire to equip elderly peoples' homes with sensors to monitor their activities and be forewarned of abnormal situations. In such an environment, sound may represent a rich source of information that can be exploited and this is considered as one of the most ergonomic and least intrusive solutions. However, this solution is often adversely affected by noise that is to say, mostly sounds of a type not taken into account in the creation of this system. Several methods were used to make it possible to classify sounds. In this work we tested Support Vector Machines to classify sounds in a domotic environment
Fichier principal
Vignette du fichier
SVM_Sehili-Sintes.pdf (226.6 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01308127 , version 1 (27-04-2016)

Identifiants

  • HAL Id : hal-01308127 , version 1

Citer

Mohamed El Amine Sehili, Dan Istrate, Jérôme Boudy. Primary investigation of sound recognition for a domotic application using support vector machines. SINTES 2010 : 14th International Conference on System Theory and Control, University of Craiova, Oct 2010, Sinaia, Romania. pp.503-506. ⟨hal-01308127⟩
442 Consultations
79 Téléchargements

Partager

Gmail Facebook X LinkedIn More