Validation of SmartStep: a data-driven inertial-signal step detection method on elderly people
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 walking test. 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.