A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation
Background Markerless motion capture (MMC) technology has been developed to avoid the
need for body marker placement during motion tracking and analysis of human movement …
need for body marker placement during motion tracking and analysis of human movement …
The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control
Quantifying gait and postural control adds valuable information that aids in understanding
neurological conditions where motor symptoms predominate and cause considerable …
neurological conditions where motor symptoms predominate and cause considerable …
Evaluation of 3D markerless motion capture accuracy using OpenPose with multiple video cameras
There is a need within human movement sciences for a markerless motion capture system,
which is easy to use and sufficiently accurate to evaluate motor performance. This study …
which is easy to use and sufficiently accurate to evaluate motor performance. This study …
Two-dimensional video-based analysis of human gait using pose estimation
Human gait analysis is often conducted in clinical and basic research, but many common
approaches (eg, three-dimensional motion capture, wearables) are expensive, immobile …
approaches (eg, three-dimensional motion capture, wearables) are expensive, immobile …
Accuracy and reliability of the kinect version 2 for clinical measurement of motor function
Background The introduction of low cost optical 3D motion tracking sensors provides new
options for effective quantification of motor dysfunction. Objective The present study aimed to …
options for effective quantification of motor dysfunction. Objective The present study aimed to …
A survey on gait recognition
C Wan, L Wang, VV Phoha - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
[图书][B] Artificial intelligence in sport performance analysis
To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …
characterize successful performance in different sports is an important challenge for all sport …
The potential of computer vision-based marker-less human motion analysis for rehabilitation
T Hellsten, J Karlsson… - Rehabilitation …, 2021 - journals.sagepub.com
Background: Several factors, including the aging population and the recent corona
pandemic, have increased the need for cost effective, easy-to-use and reliable …
pandemic, have increased the need for cost effective, easy-to-use and reliable …
Motion Capture Technologies for Ergonomics: A Systematic Literature Review
Muscular skeletal disorder is a difficult challenge faced by the working population. Motion
capture (MoCap) is used for recording the movement of people for clinical, ergonomic and …
capture (MoCap) is used for recording the movement of people for clinical, ergonomic and …
Application of motion capture technology for sport performance analysis
BP Ortega, JMJ Olmedo - Retos: nuevas tendencias en …, 2017 - dialnet.unirioja.es
In sport performance, motion capture aims at tracking and recording athletes' human motion
in real time to analyze physical condition, athletic performance, technical expertise and …
in real time to analyze physical condition, athletic performance, technical expertise and …