Complete Sound and Speech Recognition System for Health Smart Homes: Application to the Recognition of Activities of Daily Living

Michel Vacher 1, * Anthony Fleury 2, * François Portet 1 Jean-François Serignat 1 Norbert Noury 2
* Auteur correspondant
2 AFIRM
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble
Abstract : This chapter presents the AUDITHIS system which performs real-time sound analysis from eight microphone channels in Health Smart Home associated to the autonomous speech analyzer RAPHAEL. The evaluation of AUDITHIS and RAPHAEL in different settings showed that audio modality is very promising to acquire information that are not available through other classical sensors. Audio processing is also the most natural way for a human to interact with his environment. Thus, this approach particularly fits Health Smart Homes that include home automation (e.g., voice command) or other high level interactions (e.g., dialogue). The originality of the work is also to include sounds of daily living as indicators to distinguish distress from normal situations. First development gave acceptable results for the sound recognition (72% correct classification) and we are working on the reduction of missed-alarm rate to improve performance in the near future. Although the current system suffers a number of limitations and that we raised numerous challenges that need to be addressed, the pair AUDITHIS and RAPHAEL is, to the best of our knowledge, one of the first serious attempts to build a real-time system that consider sound and speech analysis for ambient assisted living. This work also includes several evalu- ations on data acquired from volunteers in a real health smart home condition. Further work will include refinement of the acoustic models to adapt the speech recognition to the aged population as well as connexion to home automation systems.
Type de document :
Chapitre d'ouvrage
Domenico Campolo. New Developments in Biomedical Engineering, In-Tech, pp. 645 -- 673, 2010
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00422576
Contributeur : Anthony Fleury <>
Soumis le : mercredi 7 octobre 2009 - 15:50:22
Dernière modification le : vendredi 26 octobre 2018 - 17:12:03
Document(s) archivé(s) le : mercredi 16 juin 2010 - 00:28:18

Fichier

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

Identifiants

  • HAL Id : hal-00422576, version 1

Citation

Michel Vacher, Anthony Fleury, François Portet, Jean-François Serignat, Norbert Noury. Complete Sound and Speech Recognition System for Health Smart Homes: Application to the Recognition of Activities of Daily Living. Domenico Campolo. New Developments in Biomedical Engineering, In-Tech, pp. 645 -- 673, 2010. 〈hal-00422576〉

Partager

Métriques

Consultations de la notice

1385

Téléchargements de fichiers

1719