Comparative Study of Machine Learning and Deep Learning Techniques for Gait Recognition: Advances in Feature Extraction, Reduction, Transformation, and Classification
Gait Recognition · Machine Learning · Deep Learning · Computer Vision
This manuscript reference is retained from the research archive. Its publisher record, DOI and publication status have not been independently verified. The external link searches the publisher catalogue by title.

Academic research reference · 2023
Comparative Study of Machine Learning and Deep Learning Techniques for Gait Recognition: Advances in Feature Extraction, Reduction, Transformation, and Classification
Image and Vision Computing · Elsevier
Gait Recognition · Machine Learning · Deep Learning · Computer Vision
Publication record
- Venue
- Image and Vision Computing
- Publisher
- Elsevier
- Published
- 2023
- Research area
- Gait Recognition · Machine Learning · Deep Learning · Computer Vision
Research summary
A manuscript reference comparing machine learning and deep learning approaches to gait feature extraction, reduction, transformation and classification. Publication status remains unverified.
Research topics
Research keywords
Research reference
Research → capability → product
This publication informs a research foundation. Connections below describe GaitAI's documented architecture; they do not establish product accuracy, clinical validation or regulatory clearance.
Gait recognition & biometrics
See this paper in GaitScape →Modules directly informed at capability level
Post-event video investigation
Product signals: Trajectory & path · Gait identity · Behaviour patterns
Policy-governed watchlist matching for authorized deployments
Product signals: Gait identity
Shared architecture · 11 additional modules
These modules share platform capabilities. The publication does not directly address their applications.
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