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 …

The essential human gait parameters are briefly reviewed, followed by a detailed review of
the state of the art in deep learning for the human gait analysis. The modalities for capturing …

The study of gait recognition, a biometric application that identifies individuals based on their
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …

Compared to other biometrics, gait is difficult to conceal and has the advantage of being
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …

In this paper, we discuss input/output architectures for convolutional neural network (CNN)-
based cross-view gait recognition. For this purpose, we consider two aspects: verification …

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

Gait recognition is one of the most important techniques for human identification at a
distance. Most current gait recognition frameworks consist of several separate steps …

Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

Human gait is an important biometric feature for person identification in surveillance videos
because it can be collected at a distance without subject cooperation. Most existing gait …

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 …