Results 41 to 50 of about 2,274 (169)

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

Reimagining Lignin Valorization: Synthetic Biology–Enabled Sustainable Aromatic Carbon Biomanufacturing

Advanced Science, EarlyView.
The diagram illustrates a sustainable model of lignin valorization and carbon cycling based on microbial cell factories. Using lignin as the feedstock, synthetic biology technologies, including depolymerization, cell factory construction, pathway gene module integration, and metabolic network regulation, are applied to convert lignin into bulk ...
Na Li, Jun‐Jie Zhangyang, Bing‐Zhi Li, Zhi‐Hua Liu, Ying‐Jin Yuan   +4 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

Advancements in markerless motion capture systems for upper limb functional assessment in stroke rehabilitation: A comprehensive review

Digital Health
Stroke frequently leads to upper limb impairment, requiring precise evaluation to guide effective rehabilitation. Markerless motion-capture technologies have emerged as promising, noninvasive tools for objective and quantitative movement assessment. This
Padmavathi Shenoy, S. Meenatchi Sundaram, Senthil Kumaran D, Manikandan Natarajan, Sucheta Kolekar   +4 more
doaj   +1 more source

Targeting ligament boundaries rather than alignment boundaries in augmented‐reality‐assisted total knee arthroplasty ensures comparable gait patterns between operated and contralateral limbs

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Modern personalised total knee arthroplasty (TKA) techniques aim to mimic natural knee kinematics by focusing on soft‐tissue dynamics rather than static alignment. However, a consistent definition of the optimal ligamentous balance has not yet been established.
Michael Engl, Fjorela Qordja, Guido Bocchino, Giulio Maccauro, Sebastian Schaller, Andrea Giordano Salvi, Luca De Berardinis, Michele Paolo Festini Capello, Pieralberto Valpiana, Pier Francesco Indelli   +9 more
wiley   +1 more source