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

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 …

Gait recognition provides the opportunity to identify different walking styles of people without
physical intervention. However, covariates such as changing clothes and carrying conditions …

Abstract Human Gait Recognition has become a burning research area because of its
promising application in security enhancement. There are numerous state-of-the-art feature …

Gait recognition, as a promising biometric, can be used in video-based surveillance and
other security systems. However, due to the complexity of leg movement and the difference …

Biometric authentication is a security process that relies on the unique biological
characteristics of an individual to verify who he or she is. Human gait serves as an important …

The traditional method of extracting time-domain features is subjective and cumbersome. An
autoencoder-based feature extraction method is proposed to overcome these shortcomings …