Advancements in Artificial Intelligence for Biometrics: A Deep Dive into Model-based Gait Recognition Techniques
Machine Learning · Gait Recognition · Biometrics · Deep Learning · Security
Academic research reference · 2024
Advancements in Artificial Intelligence for Biometrics: A Deep Dive into Model-based Gait Recognition Techniques
Engineering Applications of Artificial Intelligence · Elsevier
Machine Learning · Gait Recognition · Biometrics · Deep Learning · Security
Publication record
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier
- Published
- 2024
- Research area
- Machine Learning · Gait Recognition · Biometrics · Deep Learning · Security
Research summary
An overview of model-based gait recognition techniques and their role in artificial intelligence approaches to biometrics.
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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