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Related Experiment Video

Updated: Oct 3, 2025

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
06:54

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

14.3K

Deep Gait Recognition: A Survey.

Alireza Sepas-Moghaddam, Ali Etemad

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |February 15, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Deep learning significantly advances gait recognition, enabling accurate individual identification through walking patterns. This review details state-of-the-art methods, datasets, and future research in this biometric field.

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    Area of Science:

    • Computer Science
    • Biometrics
    • Artificial Intelligence

    Background:

    • Gait recognition identifies individuals by their unique walking patterns.
    • Deep learning has revolutionized gait recognition since 2015, enabling automatic feature learning.
    • Deep learning-based methods now represent the state-of-the-art in gait recognition.

    Conclusions:

    • Deep learning has established gait recognition as a powerful biometric modality.
    • The survey highlights key advancements and provides a structured understanding of the field.
    • Future research should address identified challenges for enhanced real-world applicability.

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