Results 11 to 20 of about 2,241 (168)

Evaluation of drop vertical jump kinematics and kinetics using 3D markerless motion capture in a large cohort [PDF]

Frontiers in Bioengineering and Biotechnology
Introduction3D Markerless motion capture technologies have advanced significantly over the last few decades to overcome limitations of marker-based systems, which require significant cost, time, and specialization.
Tylan Templin, Christopher D. Riehm, Christopher D. Riehm, Christopher D. Riehm, Travis Eliason, Tessa C. Hulburt, Tessa C. Hulburt, Tessa C. Hulburt, Samuel T. Kwak, Samuel T. Kwak, Samuel T. Kwak, Omar Medjaouri, David Chambers, Manish Anand, Manish Anand, Manish Anand, Manish Anand, Kase Saylor, Gregory D. Myer, Gregory D. Myer, Gregory D. Myer, Gregory D. Myer, Gregory D. Myer, Gregory D. Myer, Daniel P. Nicolella   +24 more
doaj   +4 more sources

Reliability of Markerless Motion Capture Systems for Assessing Movement Screenings [PDF]

Orthopaedic Journal of Sports Medicine
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, Alan Huebner PhD, John P. Wagle PhD, Emma R. Cobian MS, Joseph Cummings PhD, Caroline Hills MS, Megan McGinty, Mandy Merritt DPT, Sam Rosengarten MPhty, Kyle Skinner MEd, Michael Szemborski BS, Leigh Wojtkiewicz BA   +11 more
doaj   +3 more sources

Evaluation of 3D Markerless Motion Capture System Accuracy during Skate Skiing on a Treadmill [PDF]

Bioengineering
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, Keijo S. Ruotsalainen, Shuang Zhao, Neil Cronin, Olli Ohtonen, Vesa Linnamo   +5 more
doaj   +4 more sources

Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras

Frontiers in Sports and Active Living, 2020
There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance.
Nobuyasu Nakano, Nobuyasu Nakano, Tetsuro Sakura, Kazuhiro Ueda, Leon Omura, Leon Omura, Arata Kimura, Yoichi Iino, Senshi Fukashiro, Shinsuke Yoshioka   +9 more
doaj   +3 more sources

Marker Data Enhancement for Markerless Motion Capture. [PDF]

IEEE Trans Biomed Eng
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, Uhlrich SD, Chaudhari AS, Hicks JL, Delp SL.   +4 more
europepmc   +4 more sources

Validating Knee Varus Alignment Measurements Using Markerless Motion Capture

Geriatrics, 2023
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, Yoshihiro Kai, Shogo Mukai, Shin Murata   +3 more
doaj   +3 more sources

Markerless motion capture: What clinician-scientists need to know right now

JSAMS Plus, 2022
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, Haraldur B. Sigurðsson, Kayla D. Seymore, Elanna K. Arhos, Thomas S. Buchanan, Lynn Snyder-Mackler, Karin Grävare Silbernagel   +6 more
doaj   +3 more sources

Between-Day Reliability of Kinematic Variables Using Markerless Motion Capture for Single-Leg Squat and Single-Leg Landing Tasks [PDF]

International Journal of Sports Physical Therapy
# 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, Lee Herrington, Chelsea Starbuck, Luis Llurda, Richard Jones   +4 more
doaj   +2 more sources

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study [PDF]

JMIR Rehabilitation and Assistive Technologies
BackgroundIn recent years, there has been an increasing demand for markerless motion capture systems, which are being widely used in biomechanical and clinical research. Furthermore, by using a markerless motion capture system in a laboratory environment
Daiki Shimotori, Kenji Kato, Tatsuya Yoshimi, Izumi Kondo   +3 more
doaj   +2 more sources

Predicting elbow valgus torque from upper extremity baseball pitching kinematics using markerless motion capture [PDF]

Sports Medicine and Health Science
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