Semi-supervised monitoring of gait for fall risk estimation using smartphones
Résumé
In this study, we aim at using a smartphone to calculate relevant falling risk features from the norm of signals collected during a semi-supervised walkingtest. We test whether these features are able to differentiate elderly fallers from non-fallers. The objective is to check whether a smartphone and semi-supervised test can give insights on falling risk.
Domaines
Biomécanique [physics.med-ph]| Origine | Fichiers éditeurs autorisés sur une archive ouverte |
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