The increasing amount of data in biomechanics research has greatly increased the
importance of developing advanced multivariate analysis and machine learning techniques …

Human gait provides a way of locomotion by combined efforts of the brain, nerves, and
muscles. Conventionally, the human gait has been considered subjectively through visual …

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 …

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 …

Data science has transformed fields such as computer vision and economics. The ability of
modern data science methods to extract insights from large, complex, heterogeneous, and …

Human gait is the identity of a person's style and quality of life. Reliable cognition of gait
properties over time, continuous monitoring, accuracy of evaluation, and proper analysis of …

Human locomotion is an acquired yet complex behavior requiring little thought during
routine activities. It involves the integration of intricate sensory information within the nervous …

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 has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …

One goal of gait analysis is to distinguish clearly between a set of abnormal gait values
measured from a patient referenced to a comparable population. However, the comparable …