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

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

In this paper, we present a dataset that takes 2D and 3D human pose keypoints estimated from images and relates them to the location of 3D anatomical landmarks. The dataset contains 51,051 poses obtained from 71 persons in A-Pose while performing 7 movements (walking, running, squatting, and four ty...

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Bibliographic Details
Main Authors: Ana Virginia Ruescas-Nicolau, Enrique José Medina-Ripoll, Eduardo Parrilla Bernabé, Helios de Rosario Martínez
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Data in Brief
Subjects:
Body tracking
Human motion analysis
Computer vison
Machine learning
3D temporal scanner
Gait
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340924001288

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http://www.sciencedirect.com/science/article/pii/S2352340924001288

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