Cargando…
Synthesising 2D Video from 3D Motion Data for Machine Learning Applications
To increase the utility of legacy, gold-standard, three-dimensional (3D) motion capture datasets for computer vision-based machine learning applications, this study proposed and validated a method to synthesise two-dimensional (2D) video image frames from historic 3D motion data. We applied the vide...
Autores principales: | Mundt, Marion, Oberlack, Henrike, Goldacre, Molly, Powles, Julia, Funken, Johannes, Morris, Corey, Potthast, Wolfgang, Alderson, Jacqueline |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459679/ https://www.ncbi.nlm.nih.gov/pubmed/36080981 http://dx.doi.org/10.3390/s22176522 |
Ejemplares similares
-
Estimating Ground Reaction Forces from Two-Dimensional Pose Data: A Biomechanics-Based Comparison of AlphaPose, BlazePose, and OpenPose
por: Mundt, Marion, et al.
Publicado: (2022) -
A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units
por: Mundt, Marion, et al.
Publicado: (2021) -
How to Synthesise High Purity, Crystalline d‐Glucaric Acid Selectively
por: Armstrong, Robert D., et al.
Publicado: (2017) -
Non-Sagittal Knee Joint Kinematics and Kinetics during Gait on Level and Sloped Grounds with Unicompartmental and Total Knee Arthroplasty Patients
por: Komnik, Igor, et al.
Publicado: (2016) -
Compromised knee internal rotation in total knee arthroplasty patients during stair climbing
por: Komnik, Igor, et al.
Publicado: (2018)