A Multimodal Corpus Recorded in a Health Smart Home

Anthony Fleury; Michel Vacher; François Portet; Pedro Chahuara; Norbert Noury

A Multimodal Corpus Recorded in a Health Smart Home

Anthony Fleury ¹ Michel Vacher ² François Portet ^{2, *} Pedro Chahuara ^{2, *} Norbert Noury ^{3, 4}

* Corresponding author

1 AFIRM

URIA - Unité de Recherche Informatique et Automatique

2 GETALP - Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole

LIG - Laboratoire d'Informatique de Grenoble

3 AFIRM

TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525

4 INL - Capteurs - INL - Capteurs Biomédicaux

INL - Institut des Nanotechnologies de Lyon

Abstract : Health Smart Homes are nowadays a very explored research area due to the needs for automation and telemedicine to support people with loss of autonomy and also to the evolution of the technology that has resulted in cheap and efficient sensors. However, collecting data in this area is still very challenging. As a consequence, many studies does not include tests on the real data, and for the few that does, datasets are not available or difficult to reuse. In this article, we present a dataset acquired in real conditions during an experiment involving 15 participants who were performing several instances of seven activities in a fully equipped Health Smart Home.

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Signal and Image processing

Computer Science [cs] / Signal and Image Processing

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Cited literature [13 references] Display Hide Download

https://hal.archives-ouvertes.fr/hal-00486922
Contributor : Anthony Fleury <>
Submitted on : Thursday, May 27, 2010 - 11:33:37 AM
Last modification on : Thursday, March 21, 2019 - 2:56:10 PM
Document(s) archivé(s) le : Thursday, September 16, 2010 - 3:39:45 PM

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