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A Meta Learning Framework for Few Shot Personalized Gait Cycle Generation and Reconstruction

2025-09-02

Abstract excerpt

<title>Abstract</title> <p>Human gait is a complex biometric signature with significant intra-subject and inter-subject variability. Traditional deep learning models for gait generation and reconstruction often require substantial personalized data, limiting their applicability in scenarios with scarce data for new individuals. This paper introduces MetaGait, a novel framework that leverages meta-learning to enab...

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Literature Corpus work
95903ef6-7172-5a0b-9a8f-c784bad5e6c1
DOI
10.21203/rs.3.rs-6990209/v1
Open publication

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A Meta Learning Framework for Few Shot Personalized Gait Cycle Generation and ReconstructionDOI 10.21203/rs.3.rs-6990209/v1
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