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 …

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work

D Sethi, S Bharti, C Prakash - Artificial Intelligence in Medicine, 2022 - Elsevier
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 …

Gait recognition: highly unique dynamic plantar pressure patterns among 104 individuals

TC Pataky, T Mu, K Bosch… - Journal of The …, 2012 - royalsocietypublishing.org
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 …

Automated detection of instantaneous gait events using time frequency analysis and manifold embedding

MSH Aung, SB Thies, LPJ Kenney… - … on Neural Systems …, 2013 - ieeexplore.ieee.org
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 …

Application of kernel-genetic algorithm as nonlinear feature selection in tropical wood species recognition system

R Yusof, M Khalid, ASM Khairuddin - Computers and electronics in …, 2013 - Elsevier
Classifying tropical wood species pose a considerable economic challenge and failure to
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

Z Ripic, JF Signorile, C Kuenze, M Eltoukhy - Journal of biomechanics, 2022 - Elsevier
Gait analysis is used in research and clinical environments; yet several limitations exist in
current methodologies. Markerless systems, utilizing high-speed video and artificial …

Develo** of a multi-angle and varied walking conditions dataset for human gait recognition

JM Burruel-Zazueta, H Rodriguez-Rangel… - … Applications of Artificial …, 2024 - Elsevier
Abstract The field of Human Gait Recognition (HGR) leverages unique walking patterns for
non-invasive, discreet biometric identification. This study highlights the importance of …

2DRLPP: Robust two-dimensional locality preserving projection with regularization

WJ Chen, CN Li, YH Shao, J Zhang… - Knowledge-Based Systems, 2019 - Elsevier
The recently proposed two-dimensional locality preserving projection (2DLPP) is an
excellent matrix-based dimensionality reduction method. However, the formulation of 2DLPP …

Artificial Intelligence Approach in Biomechanical Analysis of Gait.

R Molavian, A Fatahi, H Abbasi… - Journal of Advanced Sport …, 2023 - jast.uma.ac.ir
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 …

[LLIBRE][B] Prediction and classification of respiratory motion

SJ Lee, Y Motai - 2014 - Springer
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 …