Gait Recognition and Analysis
This cluster of papers focuses on gait recognition for human identification, utilizing techniques such as silhouette analysis, deep learning, and inertial sensors. It explores cross-view recognition and the use of wearable devices for biometric authentication, with applications in forensic biometrics.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.