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 reviews the recent literature on technologies and methodologies for quantitative
human gait analysis in the context of neurodegenerative diseases. The use of technological …

Model-based gait recognition is considered to be promising due to the robustness against
some variations, such as clothing and baggage carried. Although model-based gait …

Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …

In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …

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 …

Gait analysis, a way of assessing the manner of walking, is considered a significant criterion
in diagnosing movement disorders. Various factors contribute to the alterations in gait …

Mobile devices such as smartphones and smartwatches are part of our everyday life,
acquiring large amount of personal information that needs to be properly secured. Among …

Person identification is a problem that has received substantial attention, particularly in
security domains. Gait recognition is one of the most convenient approaches enabling …

Fall happens when a person's movement coordination is disturbed, forcing them to rest on
the ground unintentionally causing serious health risks. The objective of this work is to …