Motion Capture Technologies for Ergonomics: A Systematic Literature Review (original) (raw)
Current Low-Cost Video-Based Motion Analysis Options for Clinical Rehabilitation: A Systematic Review
Ka-Chun Siu
Physical Therapy, 2019
View PDFchevron_right
Ai Based Motion Analysis Software for Sport and Physical Therapy Assessment
Fanni Dulhazi
Revista Brasileira de Medicina do Esporte
View PDFchevron_right
RehabGesture: An Alternative Tool for Measuring Human Movement
Nivaldo Antonio Parizotto
Telemedicine and e-Health, 2016
View PDFchevron_right
Assessing Human Motion During Exercise Using Machine Learning: A Literature Review
Fotos Frangoudes
IEEE Access
View PDFchevron_right
Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics—An Overview of Current Applications, Challenges, and Future Opportunities
Mikael Forsman
Sensors
View PDFchevron_right
Improving Movement Analysis in Physical Therapy Systems Based on Kinect Interaction
Horia F Pop
Electronic Workshops in Computing, 2017
View PDFchevron_right
Abstract—Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data captured with a sensory system. Despite the essential role of rehabilitation assessment toward improved patient
Aleksandar Vakanski
2020
View PDFchevron_right
Moving Toward Clinic-Based Motion Analysis: Kinect® Camera as an Example
Moataz Eltoukhy
Sports and Exercise Medicine - Open Journal, 2015
View PDFchevron_right
Ergonomic Low Cost Motion Capture for every day health exercise
Dennis Majoe
2008 Third International Conference on Pervasive Computing and Applications, 2008
View PDFchevron_right
A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation
YM Tang
Journal of NeuroEngineering and Rehabilitation, 2023
View PDFchevron_right
Intelligent health care — A Motion Analysis system for health practitioners
Anup Kale
2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2010
View PDFchevron_right
Evaluating rehabilitation progress using motion features identified by machine learning
Mary P Galea
View PDFchevron_right
Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment
Margherita Peruzzini
Applied Sciences, 2021
View PDFchevron_right
Autonomous modeling of repetitive movement for rehabilitation exercise monitoring
Christopher Kuah
BMC Medical Informatics and Decision Making
View PDFchevron_right
Human like motion generation for ergonomic assessment-a muscle driven Digital Human Model using muscle synergies
Marius Obentheuer
2017
View PDFchevron_right
Artificial Intelligence (AI) Powered Precise Classification of Recuperation Exercises for Musculoskeletal Disorders
Mariyam Khan
Traitement du Signal
View PDFchevron_right
Recognition of Physiotherapeutic Exercises Through DTW and Low-Cost Vision-Based Motion Capture
Santiago Villarreal
Advances in Intelligent Systems and Computing, 2017
View PDFchevron_right
Home Monitoring Musculo-skeletal Disorders with a Single 3D Sensor
Carolee Winstein
2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013
View PDFchevron_right
eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry
Antonio Soriano
The Scientific World Journal, 2014
View PDFchevron_right
Ergonomics Evaluation Using Motion Capture Technology—Literature Review
Filip Rybnikár
Applied sciences, 2022
View PDFchevron_right
Fully portable low-cost motion capture system with real-time feedback for rehabilitation treatment
Iakovos Kritikos
2019 International Conference on Virtual Rehabilitation (ICVR), 2019
View PDFchevron_right
Biomechanical Validation of Upper-Body and Lower-Body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatments
Toni Susin
2012 Fourth International Conference on Intelligent Networking and Collaborative Systems, 2012
View PDFchevron_right
Motion capturing devices for assessment of upper limb kinematics: a comparative study
R. Verdonk
Computer Methods in Biomechanics and Biomedical Engineering, 2007
View PDFchevron_right
ENIGMA – Enhanced interactive general movement assessment
Gabriela Alejandra Perez Espinosa
Expert Systems with Applications, 2008
View PDFchevron_right
Supervised Classification of Motor-Rehabilitation Body Movements with RGB Cameras and Pose Tracking Data
Rogério Iope
Journal on Interactive Systems
View PDFchevron_right
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises
Aleksandar Vakanski
2020
View PDFchevron_right
Applied Machine Learning for Classification of Musculoskeletal Inference using Neural Networks and Component Analysis
Shaswat Sharma
2019
View PDFchevron_right
Ergonomic Risk Assessment of Developing Musculoskeletal Disorders in Workers with the Microsoft Kinect: TRACK TMS
Oussama Hamzaoui
IRBM, 2018
View PDFchevron_right
Do we still need to screen our patients?—Orthopaedic scoring based on motion tracking
Francisco Geu Flores
International Orthopaedics
View PDFchevron_right
Integration of emerging motion capture technologies and videogames for human upper-limb telerehabilitation: A systematic review
Mauro Callejas-Cuervo, DYNA Revista, Gloria Díaz, Andres Felipe Ruiz Olaya
View PDFchevron_right