Validating Knee Varus Alignment Measurements Using Markerless Motion Capture
This study aimed to determine the validity of specific knee varus alignment measurement methods. We measured the femorotibial angle (FTA) using radiography and optical motion capture and validated the FTA measurement using markerless motion capture.
Kensuke Todoriki +3 more
doaj +4 more sources
Markerless motion capture: What clinician-scientists need to know right now
Markerless motion capture (mocap) could be the future of motion analysis. The purpose of this report was to describe our team of clinicians and scientists’ exploration of markerless mocap (Theia 3D) and share data for others to explore (link: https://osf.
Naoaki Ito +6 more
doaj +3 more sources
Marker Data Enhancement for Markerless Motion Capture. [PDF]
Abstract Objective Human pose estimation models can measure movement from videos at a large scale and low cost; however, open-source pose estimation models typically detect only sparse keypoints, which leads to inaccurate joint kinematics.
Falisse A +4 more
europepmc +5 more sources
Advancements in markerless motion capture systems for upper limb functional assessment in stroke rehabilitation: A comprehensive review [PDF]
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 +4 more
doaj +2 more sources
Reliability of Markerless Motion Capture Systems for Assessing Movement Screenings
Background: Movement screenings are commonly used to detect unfavorable movement patterns. Markerless motion capture systems have been developed to track 3-dimensional motion.
Jonathan D. Hauenstein PhD +11 more
doaj +2 more sources
Between-Day Reliability of Kinematic Variables Using Markerless Motion Capture for Single-Leg Squat and Single-Leg Landing Tasks [PDF]
# Background Markerless motion capture has the potential to repeatedly collect biomechanical data during activities associated with injuries. Few studies have assessed the reliability of this technology during single-leg tasks. # Purpose The primary aim
Matias Yoma +4 more
doaj +2 more sources
Evaluation of 3D Markerless Motion Capture System Accuracy during Skate Skiing on a Treadmill
In this study, we developed a deep learning-based 3D markerless motion capture system for skate skiing on a treadmill and evaluated its accuracy against marker-based motion capture during G1 and G3 skating techniques. Participants performed roller skiing
Petra Torvinen +5 more
doaj +3 more sources
Markerless 3D motion capture for animal locomotion studies [PDF]
Obtaining quantitative data describing the movements of animals is an essential step in understanding their locomotor biology. Outside the laboratory, measuring animal locomotion often relies on video-based approaches and analysis is hampered because of ...
William Irvin Sellers, Eishi Hirasaki
doaj +3 more sources
Predicting elbow valgus torque from upper extremity baseball pitching kinematics using markerless motion capture [PDF]
Background: Markerless motion capture in sport is becoming widely available and increasingly popular. Because of the increase in popularity, it is important to determine if the values reported by these systems are similar to that of previous research ...
Adam R. Nebel, Abigail C. Schmitt
doaj +2 more sources
Ankle Biomechanics during Pregnancy using Markerless Motion Capture [PDF]
Research Type: Level 2 - Prospective comparative study, Meta-analysis of Level 2 studies or Level 1 studies with inconsistent results Introduction/Purpose: Pregnancy causes many physiologic changes, including increased body mass, postural adjustment, and
Michelle Meyers BS +6 more
doaj +2 more sources

