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Communication Dans Un Congrès Année : 2022

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.
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Dates et versions

hal-03888051 , version 1 (07-12-2022)

Identifiants

  • HAL Id : hal-03888051 , version 1

Citer

Nahime Al Abiad, Enguerran Houdry, Carlos El Khoury, Valérie Renaudin, Thomas Robert. Validation of SmartStep: a data-driven inertial-signal step detection method on elderly people. 2022 ISPGR World Congress, International Society of Posture and Gait Research, Jul 2022, Montreal, Canada. pp S4-S5. ⟨hal-03888051⟩
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