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Role of machine learning in gait analysis: a review
P Khera, N Kumar - Journal of Medical Engineering & Technology, 2020 - Taylor & Francis
Human biomechanics and gait form an integral part of life. The gait analysis involves a large
number of interdependent parameters that were difficult to interpret due to a vast amount of …
number of interdependent parameters that were difficult to interpret due to a vast amount of …
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
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 …
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
Gait recognition: highly unique dynamic plantar pressure patterns among 104 individuals
Everyone's walking style is unique, and it has been shown that both humans and computers
are very good at recognizing known gait patterns. It is therefore unsurprising that dynamic …
are very good at recognizing known gait patterns. It is therefore unsurprising that dynamic …
Automated detection of instantaneous gait events using time frequency analysis and manifold embedding
Accelerometry is a widely used sensing modality in human biomechanics due to its
portability, non-invasiveness, and accuracy. However, difficulties lie in signal variability and …
portability, non-invasiveness, and accuracy. However, difficulties lie in signal variability and …
Application of kernel-genetic algorithm as nonlinear feature selection in tropical wood species recognition system
Classifying tropical wood species pose a considerable economic challenge and failure to
classify the wood species accurately can have significant effects on timber industries …
classify the wood species accurately can have significant effects on timber industries …
Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters
Gait analysis is used in research and clinical environments; yet several limitations exist in
current methodologies. Markerless systems, utilizing high-speed video and artificial …
current methodologies. Markerless systems, utilizing high-speed video and artificial …
Develo** of a multi-angle and varied walking conditions dataset for human gait recognition
Abstract The field of Human Gait Recognition (HGR) leverages unique walking patterns for
non-invasive, discreet biometric identification. This study highlights the importance of …
non-invasive, discreet biometric identification. This study highlights the importance of …
2DRLPP: Robust two-dimensional locality preserving projection with regularization
The recently proposed two-dimensional locality preserving projection (2DLPP) is an
excellent matrix-based dimensionality reduction method. However, the formulation of 2DLPP …
excellent matrix-based dimensionality reduction method. However, the formulation of 2DLPP …
Artificial Intelligence Approach in Biomechanical Analysis of Gait.
The objective of the current investigation was to conduct a biomechanical analysis of human
gait based on the Unsupervised machine learning–Artificial Intelligence approach. Twenty …
gait based on the Unsupervised machine learning–Artificial Intelligence approach. Twenty …
[LLIBRE][B] Prediction and classification of respiratory motion
Rapid developments in radiotherapy systems open a new era for the treatment of thoracic
and abdominal tumors with accurate dosimetry [1]. For accurate treatment planning and …
and abdominal tumors with accurate dosimetry [1]. For accurate treatment planning and …