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 …

[HTML][HTML] The application of ANFIS prediction models for thermal error compensation on CNC machine tools

AM Abdulshahed, AP Longstaff, S Fletcher - Applied soft computing, 2015 - Elsevier
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come
from thermal deformations of the machine elements caused by heat sources within the …

Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia

Y Zhang, Y Ma - Computers in biology and medicine, 2019 - Elsevier
Gait classification has been widely used for children with cerebral palsy (CP) to assist with
clinical decision making and to evaluate different treatment outcomes. The aim of this study …

Human gait analysis using machine learning: A review

SM Alfayeed, BS Saini - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The gait analysis is interpreted to include an overwhelming number of interrelated
parameters, which, due to the high volume of data and their relationships and is difficult to …

Characterising leg-dominance in healthy netballers using 3D kinematics-electromyography features' integration and machine learning techniques

U Yahya, SMNA Senanayake… - International Journal of …, 2022 - inderscienceonline.com
The present study utilised machine learning techniques to characterise differences between
dominant (DL) and non-dominant (nDL) legs of healthy female netballers during single-leg …

A decision-making system based on case-based reasoning for predicting stroke rehabilitation demands in heterogeneous information environment

D Wang, J Liu, Q Lin, H Yu - Applied Soft Computing, 2024 - Elsevier
Recently, the increasing number of stroke survivors has created a greater demand for
rehabilitation services. How to predict rehabilitation demands is important for policy makers …

A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3D kinematics–EMG features

U Yahya, SMN Arosha Senanayake… - Neural Computing and …, 2020 - Springer
Classification of athletes' performance in vertical jump (VJ) tests is a recommended practice
at various stages of athlete fitness development and performance enhancement. The …

A deep learning based iot framework for assistive healthcare using gesture based interface

S Avadut, SK Udgata - … Conference on Internet of Things and …, 2022 - ieeexplore.ieee.org
Around the world, the number of senior citizens is increasing and shall continue to increase,
and it is expected to be around 20 percent by 2050. Realizing its importance, the United …

Predictive modelling of football injuries

S Kampakis - arXiv preprint arXiv:1609.07480, 2016 - arxiv.org
The goal of this thesis is to investigate the potential of predictive modelling for football
injuries. This work was conducted in close collaboration with Tottenham Hotspurs FC …

[HTML][HTML] A global bibliometric and visualized analysis of gait analysis and artificial intelligence research from 1992 to 2022

T Bao, J Gao, J Wang, Y Chen, F Xu… - Frontiers in Robotics …, 2023 - frontiersin.org
Gait is an important basic function of human beings and an integral part of life. Many mental
and physical abnormalities can cause noticeable differences in a person's gait. Abnormal …