Classification of first recovery steps after quiet standing following external perturbation from different directions

Recovery from external perturbations typically involves stepping, with the perturbation direction playing a key role in determining the recovery strategy. To date, classifications of these stepping strategies have relied on prior knowledge of perturbation direction, which is not always available when considering experimental paradigms close to real-world scenario. Here, we introduce a novel Unified classification method that enables the labeling of first recovery steps based solely on body kinematics. We have also developed and validated a logistic regression model that effectively differentiates between different recovery strategies.

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Publication Details

Journal
Journal of Biomechanics
Published
2025-03-26
DOI
https://doi.org/10.1016/j.jbiomech.2025.112639
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Classification of first recovery steps after quiet standing following external perturbation from different directions

Anne‐Hélène Olivier, Charles Pontonnier, Thomas Chatagnon, Ludovic Hoyet et al.
Journal of Biomechanics
Balance, Gait, and Falls Prevention
article

Classification of first recovery steps after quiet standing following external perturbation from different directions

Anne‐Hélène Olivier, Charles Pontonnier, Thomas Chatagnon, Ludovic Hoyet, Julien Pettré
article en

Abstract

Recovery from external perturbations typically involves stepping, with the perturbation direction playing a key role in determining the recovery strategy. To date, classifications of these stepping strategies have relied on prior knowledge of perturbation direction, which is not always available when considering experimental paradigms close to real-world scenario. Here, we introduce a novel Unified classification method that enables the labeling of first recovery steps based solely on body kinematics. We have also developed and validated a logistic regression model that effectively differentiates between different recovery strategies.

Journal of BiomechanicsVol. 184
Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Forschungszentrum Jülich (DE), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), Université de Rennes (FR)
European Commission, Agence Nationale de la Recherche, Horizon 2020 Framework Programme
Climate action
Openalex Percentile: Top 91%
Balance, Gait, and Falls Prevention
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