Chapron Kévin, Bouchard Kévin et Gaboury Sébastien. (2019). Real-time gait speed evaluation at home. Dans Armir Bujari et Pietro Manzoni (dir.), GoodTechs '19 : Proceedings of the 5th EAI International conference on smart objects and technologies for social good. (p. 55-60). New York, NY, United States : Association for computing machinery.
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URL officielle: http://dx.doi.org/doi:10.1145/3342428.3342665
Résumé
In the last decades, aging population has raised substantial awareness by the scientific communities. An important part of these populations experience cognitive decline, without any method to threat it. However, the gait speed has been revealed as a great predictor of Mild Cognitive Impairments, making its monitoring very interesting for early detection. Since it would require a lot of human resources to do it at this scale, an ambient sensor would be a perfect solution for this task. It would be necessary to be able to associate the gait speed evaluated with the user who walked at this speed. This paper deals with our new conceptualized prototype to monitor gait speed in a smart home and automatically associate it with the right person. The method induced promising results.
| Type de document: | Chapitre de livre |
|---|---|
| Date: | 2019 |
| Lieu de publication: | New York, NY, United States |
| Identifiant unique: | 10.1145/3342428.3342665 |
| Sujets: | Sciences naturelles et génie > Sciences mathématiques > Informatique Sciences de la santé > Sciences médicales > Gériatrie-gérontologie |
| Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique |
| Éditeurs: | Bujari, Armir Manzoni, Pietro |
| Mots-clés: | gait speed evaluation, cognitive impairments |
| Déposé le: | 12 févr. 2021 19:27 |
|---|---|
| Dernière modification: | 12 févr. 2021 19:27 |
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