Article
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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Identifiers and source
- Literature Corpus work
- 95903ef6-7172-5a0b-9a8f-c784bad5e6c1
- DOI
- 10.21203/rs.3.rs-6990209/v1
