A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation

WWT Lam, YM Tang, KNK Fong - Journal of neuroengineering and …, 2023 - Springer
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 …

The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control

C Buckley, L Alcock, R McArdle, RZU Rehman… - Brain sciences, 2019 - mdpi.com
Quantifying gait and postural control adds valuable information that aids in understanding
neurological conditions where motor symptoms predominate and cause considerable …

Evaluation of 3D markerless motion capture accuracy using OpenPose with multiple video cameras

N Nakano, T Sakura, K Ueda, L Omura… - Frontiers in sports and …, 2020 - frontiersin.org
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 …

Two-dimensional video-based analysis of human gait using pose estimation

J Stenum, C Rossi, RT Roemmich - PLoS computational biology, 2021 - journals.plos.org
Human gait analysis is often conducted in clinical and basic research, but many common
approaches (eg, three-dimensional motion capture, wearables) are expensive, immobile …

Accuracy and reliability of the kinect version 2 for clinical measurement of motor function

K Otte, B Kayser, S Mansow-Model, J Verrel, F Paul… - PloS one, 2016 - journals.plos.org
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 …

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 …

[图书][B] Artificial intelligence in sport performance analysis

D Araújo, M Couceiro, L Seifert, H Sarmento, K Davids - 2021 - taylorfrancis.com
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 …

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 …

Motion Capture Technologies for Ergonomics: A Systematic Literature Review

S Salisu, NIR Ruhaiyem, TAE Eisa, M Nasser, F Saeed… - Diagnostics, 2023 - mdpi.com
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 …

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 …