Results 41 to 50 of about 2,117,911 (204)

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

Markerless Human Motion Capture for Gait Analysis

CoRR, 2005
The aim of our study is to detect balance disorders and a tendency towards the falls in the elderly, knowing gait parameters. In this paper we present a new tool for gait analysis based on markerless human motion capture, from camera feeds. The system introduced here, recovers the 3D positions of several key points of the human body while walking ...
Saboune, Jamal, Charpillet, François
openaire   +4 more sources

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

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

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +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

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

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 PITCHAI Markerless Motion Capture Using Gold Standard 3D Motion Capture

, 2022
Kinematic assessments in baseball pitchers have previously been determined using marker-based motion capture systems. No current research exists on the feasibility of single camera markerless motion capture technology for kinematic pitching analysis ...

core   +1 more source