Modeling biological individuality using machine learning: A study on human gait

Modeling biological individuality using machine learning: A study on human gait

Human gait is a complex and unique biological process that can offer valuable insights into an individual’s health and well-being. In this work, we leverage a machine learning-based approach to model individual gait signatures and identify factors contributing to inter-individual variability in gait...

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Bibliographic Details
Main Authors: Fabian Horst, Djordje Slijepcevic, Marvin Simak, Brian Horsak, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Human gait recognition
Biomechanics
Ground reaction forces
Explainable artificial intelligence
Layer-wise relevance propagation
Force-based gait recognition
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023002222

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http://www.sciencedirect.com/science/article/pii/S2001037023002222

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