Results 21 to 30 of about 2,117,911 (204)
Measurement of Shoulder Abduction Angle with Posture Estimation Artificial Intelligence Model
Sensors, 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
Markerless Motion Capture and Biomechanical Analysis Pipeline
CoRR, 2023 Markerless motion capture using computer vision and human pose estimation (HPE) has the potential to expand access to precise movement analysis. This could greatly benefit rehabilitation by enabling more accurate tracking of outcomes and providing more sensitive tools for research.
R. James Cotton +7 more
openaire +3 more sources
Scaled Motion Dynamics for Markerless Motion Capture
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007 This work proposes a way to use a-priori knowledge on motion dynamics for markerless human motion capture (MoCap). Specifically, we match tracked motion patterns to training patterns in order to predict states in successive frames. Thereby, modeling the motion by means of twists allows for a proper scaling of the prior.
Rosenhahn, B. +2 more
openaire +3 more sources
Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of concept. [PDF]
PLoS 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
Automated Markerless Extraction of Walking People Using Deformable Contour Models
, 2004 We develop a new automated markerless motion capture system for the analysis of walking people. We employ global evidence gathering techniques guided by biomechanical analysis to robustly extract articulated motion.
Mark S. Nixon +3 more
core +2 more sources
Parallelization strategies for markerless human motion capture
Journal 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.
Cano, Alberto +4 more
openaire +4 more sources
PLOS ONE, 2023 This study examined if occluded joint locations, obtained from 2D markerless motion capture (single camera view), produced 2D joint angles with reduced agreement compared to visible joints, and if 2D frontal plane joint angles were usable for practical applications.
Logan Wade +6 more
openaire +5 more sources
Markerless motion capture of man-machine interaction
2008 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 ...
Bodo Rosenhahn +5 more
openaire +3 more sources
Markerless Motion Capture in the Crowd
CoRR, 2012 Presented at Collective Intelligence conference, 2012 (arXiv:1204.2991)
Ian Spiro +2 more
openaire +3 more sources
The Development and Evaluation of a Fully Automated Markerless Motion Capture Workflow [PDF]
Journal of Biomechanics, 2022 This study presented a fully automated deep learning based markerless motion capture workflow and evaluated its performance against marker-based motion capture during overground running, walking and counter movement jumping. Multi-view high speed (200 Hz) image data were collected concurrently with marker-based motion capture (criterion data ...
Laurie Needham +6 more
openaire +4 more sources