Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

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

Many biometric authentication techniques have been defined over the years; of these
techniques, Human Gait recognition has gathered popularity over the years due to its ability …

Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …

In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …

Gait recognition systems typically rely solely on silhouettes for extracting gait signatures.
Nevertheless, these approaches struggle with changes in body shape and dynamic …

In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …

Gait recognition, which aims at identifying individuals by their walking patterns, has
achieved great success based on silhouette. The binary silhouette sequence encodes the …

This article focuses on defining the problem of solving the problem of human identification
by means of gait recognition in biometric identification systems. In order to determine the …

Edge computing is gaining importance in the realm of Deep Learning, particularly after
powerful devices such as recent heterogeneous embedded systems have demonstrated …