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Semi-supervised monitoring of gait for fall risk estimation using smartphones

Authors
  • Al Abiad, Nahime
  • Houdry, E
  • El Khoury, C
  • Renaudin, Valérie
  • Robert, Thomas
Publication Date
Oct 26, 2022
Source
HAL
Keywords
Language
English
License
Unknown
External links

Abstract

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.

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