[HTML][HTML] Wearable sensors and smart devices to monitor rehabilitation parameters and sports performance: an overview
A quantitative evaluation of kinetic parameters, the joint's range of motion, heart rate, and
breathing rate, can be employed in sports performance tracking and rehabilitation …
breathing rate, can be employed in sports performance tracking and rehabilitation …
[HTML][HTML] Emerging portable technologies for gait analysis in neurological disorders
C Salchow-Hömmen, M Skrobot… - Frontiers in Human …, 2022 - frontiersin.org
The understanding of locomotion in neurological disorders requires technologies for
quantitative gait analysis. Numerous modalities are available today to objectively capture …
quantitative gait analysis. Numerous modalities are available today to objectively capture …
Normal and pathological gait classification LSTM model
M Khokhlova, C Migniot, A Morozov… - Artificial intelligence in …, 2019 - Elsevier
Computer vision-based clinical gait analysis is the subject of permanent research. However,
there are very few datasets publicly available; hence the comparison of existing methods …
there are very few datasets publicly available; hence the comparison of existing methods …
Comparison of Azure Kinect overground gait spatiotemporal parameters to marker based optical motion capture
TM Guess, R Bliss, JB Hall, AM Kiselica - Gait & posture, 2022 - Elsevier
Background Instrumented measurement of spatiotemporal parameters during walking can
provide valuable information on an individual's overall function and health. Efficient …
provide valuable information on an individual's overall function and health. Efficient …
[HTML][HTML] A SWOT analysis of portable and low-cost markerless motion capture systems to assess lower-limb musculoskeletal kinematics in sport
C Armitano-Lago, D Willoughby… - Frontiers in Sports and …, 2022 - frontiersin.org
Markerless motion capture systems are promising for the assessment of movement in more
real world research and clinical settings. While the technology has come a long way in the …
real world research and clinical settings. While the technology has come a long way in the …
[HTML][HTML] Validation of a Kinect V2 based rehabilitation game
Interactive technologies are beneficial to stroke recovery as rehabilitation interventions;
however, they lack evidence for use as assessment tools. Mystic Isle is a multi-planar full …
however, they lack evidence for use as assessment tools. Mystic Isle is a multi-planar full …
sEMG-based consecutive estimation of human lower limb movement by using multi-branch neural network
Surface electromyography (sEMG) has the potential for human lower limb movement
analysis, including gait phases recognition and joint angle estimation, which can provide a …
analysis, including gait phases recognition and joint angle estimation, which can provide a …
Multi‐dimensional data modelling of video image action recognition and motion capture in deep learning framework
P Gao, D Zhao, X Chen - IET Image Processing, 2020 - Wiley Online Library
In order to improve the accuracy of small‐range human motion recognition in video and the
computational efficiency of large‐scale data sets, a multi‐dimensional data model of motion …
computational efficiency of large‐scale data sets, a multi‐dimensional data model of motion …
[HTML][HTML] The validity and reliability of a kinect v2-based gait analysis system for children with cerebral palsy
Y Ma, K Mithraratne, NC Wilson, X Wang, Y Ma… - Sensors, 2019 - mdpi.com
The aim of this study is to evaluate if Kinect is a valid and reliable clinical gait analysis tool
for children with cerebral palsy (CP), and whether linear regression and long short-term …
for children with cerebral palsy (CP), and whether linear regression and long short-term …
Skeleton-based abnormal gait recognition with spatio-temporal attention enhanced gait-structural graph convolutional networks
H Tian, X Ma, H Wu, Y Li - Neurocomputing, 2022 - Elsevier
Abnormal gait recognition is of great significance for medical monitoring and clinical
diagnosis. Recent progress on skeleton-based abnormal gait recognition using recurrent …
diagnosis. Recent progress on skeleton-based abnormal gait recognition using recurrent …