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 …

The Internet of Medical Things (IoMT) has become a strategic priority for future e-healthcare
because of its ability to improve patient care and its scope of providing more reliable clinical …

Human gait conveys significant information that can be used for identity recognition and
emotion recognition. Recent studies have focused more on gait identity recognition than …

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

This paper gives a comprehensive study on gait biometrics via a joint CNN-based method.
Gait is a kind of behavioral biometric feature with unique advantages, eg, long-distance …

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 this paper, we propose a unified real-time framework for gait-based age estimation and
gender classification that uses just a single image, which reduces the latency in video …

People identification using gait information (ie, the way a person walks) obtained from
inertial sensors is a robust approach that can be used in multiple situations where vision …

Gait analysis is widely used in clinical practice to help in understanding the gait
abnormalities and its association with a certain underlying medical condition for better …

People identification in video based on the way they walk (ie, gait) is a relevant task in
computer vision using a noninvasive approach. Standard and current approaches typically …