Results 41 to 50 of about 2,241 (168)

Markerless vs. Marker-Based Gait Analysis: A Proof of Concept Study

Sensors, 2022
The analysis of human gait is an important tool in medicine and rehabilitation to evaluate the effects and the progression of neurological diseases resulting in neuromotor disorders.
Matteo Moro, Giorgia Marchesi, Filip Hesse, Francesca Odone, Maura Casadio   +4 more
doaj   +1 more source

The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications

Journal of NeuroEngineering and Rehabilitation, 2006
Over the centuries the evolution of methods for the capture of human movement has been motivated by the need for new information on the characteristics of normal and pathological human movement.
Corazza Stefano, Mündermann Lars, Andriacchi Thomas P   +2 more
doaj   +1 more source

Accuracy and Validity of 3D Markerless Motion Capture Compared to Marker-Based Systems for Lower-Limb Biomechanical Assessment: A Systematic Review

Sensors
Marker-based motion capture systems are considered the gold standard for biomechanical analysis of movements associated with anterior cruciate ligament (ACL) injury risk; however, their cost and technical requirements limit their use for large-scale ...
Aditya Chougule, Matthew Dowsett, David Ekundayomi, Ava Machesney, Tomos Mather, Benjamin Gompels, Stephen McDonnell   +6 more
doaj   +1 more source

The inter-trial and inter-session reliability of Theia3D-derived markerless gait analysis in tight versus loose clothing [PDF]

PeerJ
Background Gait analysis is traditionally conducted using marker-based methods yet markerless motion capture is emerging as an alternative. Initial studies have begun to evaluate the reliability of markerless motion capture yet the evaluation of ...
Sylvia Augustine, Richard Foster, Gabor Barton, Mark J. Lake, Raihana Sharir, Mark A. Robinson   +5 more
doaj   +2 more sources

The accuracy of several pose estimation methods for 3D joint centre localisation

Scientific Reports, 2021
Human movement researchers are often restricted to laboratory environments and data capture techniques that are time and/or resource intensive. Markerless pose estimation algorithms show great potential to facilitate large scale movement studies ‘in the ...
Laurie Needham, Murray Evans, Darren P. Cosker, Logan Wade, Polly M. McGuigan, James L. Bilzon, Steffi L. Colyer   +6 more
doaj   +1 more source

Comparison of Motion Analysis Systems in Tracking Upper Body Movement of Myoelectric Bypass Prosthesis Users

Sensors, 2022
Current literature lacks a comparative analysis of different motion capture systems for tracking upper limb (UL) movement as individuals perform standard tasks.
Sophie L. Wang, Gene Civillico, Wesley Niswander, Kimberly L. Kontson   +3 more
doaj   +1 more source

Functional models from limited data: A parametric and multimodal approach to anatomy and 3D kinematics of feeding in basking sharks (Cetorhinus maximus)

The Anatomical Record, EarlyView.
Abstract Basking sharks, Cetorhinus maximus (Gunnerus, Brugden [Squalus maximus], Det Kongelige Norske Videnskabers Selskabs Skrifter, 1765, vol. 3, pp. 33–49), feed by gaping their mouths and gill slits, greatly reorienting their cranial skeletons to filter food from water.
Tairan Li, Mike Schindler, Martha Paskin, Venkata A. Surapaneni, Elliott Scott, Sabine Hauert, Nicholas Payne, David E. Cade, Jeremy A. Goldbogen, Frederik H. Mollen, Daniel Baum, Sean Hanna, Mason N. Dean   +12 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Validation of a handheld smartphone markerless gait‐analysis tool using an estimated groundline in horses

Equine Veterinary Journal, EarlyView.
Abstract Background A handheld smartphone‐based computer vision algorithm (RealHorse® [RH]) offers accessible alternatives for equine gait analysis but requires validation against a gold‐standard three‐dimensional multicamera optical motion capture system (Qualisys® [QS]).
Karsten Key, Jakob Kirkegaard, Katja Berg, Kristian Ringkjær Andresen, Sabrina Skov Hansen   +4 more
wiley   +1 more source

Validation of upper extremity kinematics using Markerless motion capture

Biomedical Engineering Advances
Movement research has typically been performed using three-dimensional (3D) marker-based motion capture, which is considered the “gold-standard” for biomechanical assessment.
Robyn M. Hansen, Sara L. Arena, Robin M. Queen   +2 more
doaj   +1 more source