Results 21 to 30 of about 8,152 (183)

ACCURACY OF A LOW-COST NOVEL COMPUTER-VISION DYNAMIC MOVEMENT ASSESSMENT: POTENTIAL LIMITATIONS AND FUTURE DIRECTIONS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The aim of the study was to perform a preliminary validation of a low cost markerless motion capture system (CAPTURE) against an industry gold standard (Vicon). Measurements of knee valgus and flexion during the performance of a countermovement jump (CMJ)
M. McGroarty   +3 more
doaj   +1 more source

Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task

open access: yesSensors, 2022
Surgeons are at high risk for developing musculoskeletal symptoms (MSS), like neck and back pain. Quantitative analysis of 3D neck and trunk movements during surgery can help to develop preventive devices such as exoskeletons. Inertial Measurement Units (
Ce Zhang   +5 more
doaj   +1 more source

Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains

open access: yesFrontiers in Human Neuroscience, 2022
Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture for use in biomechanical and clinical settings.Methods: Twenty-one (7 M,14 F) participants aged between 18 and 73 years were ...
Sherveen Riazati   +15 more
doaj   +1 more source

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

open access: yesFrontiers 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   +9 more
doaj   +1 more source

Measurement of Shoulder Abduction Angle with Posture Estimation Artificial Intelligence Model

open access: yesSensors, 2023
Substantial advancements in markerless motion capture accuracy exist, but discrepancies persist when measuring joint angles compared to those taken with a goniometer.
Masaya Kusunose   +9 more
doaj   +1 more source

Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of concept. [PDF]

open access: yesPLoS ONE, 2014
During the last decade markerless motion capture techniques have gained an increasing interest in the biomechanics community. In the clinical field, however, the application of markerless techniques is still debated.
Elena Ceseracciu   +2 more
doaj   +1 more source

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

open access: yesJSAMS 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   +6 more
doaj   +1 more source

A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport

open access: yesFrontiers in Sports and Active Living, 2022
Markerless motion capture systems are promising for the assessment of movement in more real world research and clinical settings. While the technology has come a long way in the last 20 years, it is important for researchers and clinicians to understand ...
Cortney Armitano-Lago   +2 more
doaj   +1 more source

Parallelization strategies for markerless human motion capture

open access: yesJournal of Real-Time Image Processing, 2014
Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is frequently the most time-consuming task, making most of the proposed methods inapplicable in real-time scenarios.
Muñoz-Salinas, Rafael   +5 more
openaire   +3 more sources

Markerless motion capture of man-machine interaction

open access: yes2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
This work deals with modeling and markerless tracking of athletes interacting with sports gear. In contrast to classical markerless tracking, the interaction with sports gear comes along with joint movement restrictions due to additional constraints: while humans can generally use all their joints, interaction with the equipment imposes a coupling ...
Rosenhahn, B.   +5 more
openaire   +2 more sources

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