Multimodal human motion dataset of 3D anatomical landmarks and pose keypoints-Reference-Cited by-同舟云学术

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Multimodal human motion dataset of 3D anatomical landmarks and pose keypoints

Published:2024-04 Issue: Volume:53 Page:110157
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Ruescas-Nicolau Ana Virginia^ORCID,Medina-Ripoll Enrique José^ORCID,Parrilla Bernabé Eduardo^ORCID,de Rosario Martínez Helios^ORCID

Publisher

Elsevier BV

Reference13 articles.

1. HumanEva: synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion;Sigal;Int. J. Comput. Vis.,2010

2. Human3.6M: large scale datasets and predictive methods for 3D human sensing in natural environments;Ionescu;IEEE Trans. Pattern Anal. Mach. Intell.,2014

3. Monocular 3D human pose estimation in the wild using improved CNN supervision;Mehta,2017

4. Applications and limitations of current markerless motion capture methods for clinical gait biomechanics;Wade;PeerJ,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tennis player actions dataset for human pose estimation;Data in Brief;2024-08

2. A Deep Learning Model for Markerless Pose Estimation Based on Keypoint Augmentation: What Factors Influence Errors in Biomechanical Applications?;Sensors;2024-03-17

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