The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad
applications in crime prevention, forensic identification, and social security. To portray a gait …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

Gait, the walking pattern of individuals, is one of the most important biometrics modalities.
Most of the existing gait recognition methods take silhouettes or articulated body models as …

We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …

Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of
the existing gait recognition methods take silhouettes or articulated body models as gait …

Existing gait recognition approaches typically focus on learning identity features that are
invariant to covariates (eg, the carrying status, clothing, walking speed, and viewing angle) …

Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …