Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait Using Explainable AI

Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait Using Explainable AI

This study explores the application of machine learning (ML) to derive and analyze individual gait patterns (i.e., gait signatures) from ground reaction force data. This study leverages three datasets containing 2,092 individuals, including 1,283 cases with pathological gait, and addresses three key...

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Bibliographic Details
Main Authors: Djordje Slijepcevic, Fabian Horst, Marvin Leonard Simak, Wolfgang Immanuel Schollhorn, Brian Horsak, Matthias Zeppelzauer
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Biomechanics
gait analysis
gait recognition
ground reaction forces
interpretability
layer-wise relevance propagation
Online Access:https://ieeexplore.ieee.org/document/10786220/
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https://ieeexplore.ieee.org/document/10786220/

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