OpenPose: Whole-Body Pose Estimation

Gin´es Hidalgo Mart´ınez

April 2019

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Technical Report Number:

CMU-RI-TR-19-15

Thesis Committee:

Yaser Sheikh

Kris Kitani

Aayush Bansal

Robotics Institute

Carnegie Mellon University

Pittsburgh, Pennsylvania 15213

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Human Operator Tracking System for

Safe Industrial Collaborative Robotics

Eduardo Fonseca

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Mestrado Integrado em Engenharia Eletrotécnica e de Computadores

Supervisor: Pedro Gomes da Costa, PhD

Co-Supervisor: Luís Freitas Rocha, PhD

July 27, 2021

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Construction Worker Posture Estimation Using OpenPose

Aanuoluwapo Ojelade1 and Frederick Paige2

1Occupational Ergonomics and Safety, Dept. of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA. E-mail: aanu@vt.edu

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2Construction and Engineering Management, Dept. of Civil Engineering, Virginia Tech, Blacksburg VA. E-mail: freddyp@vt.edu

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Learning to Detect and Track Visible and

Occluded Body Joints in a Virtual World

Matteo Fabbri Fabio Lanzi Simone Calderara Andrea Palazzi

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Roberto Vezzani Rita Cucchiara

University of Modena and Reggio Emilia, Italy

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A Deep-Learning Based Worker’s Pose Estimation

Prabesh Paudel and Kyoung-Ho Choi

Mokpo National University, Cheonggye-myeon, Mokpo, South Korea prabesh123,khchoi@mokpo.ac.kr

Human Pose Detection for Robotic-Assisted and Rehabilitation Environments

Óscar G. Hernández , Vicente Morell, José L. Ramon and Carlos A. Jara

Citation: Hernández, Ó.G.; Morell,

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V.; Ramon, J.L.; Jara, C.A. Human

Pose Detection for Robotic-Assisted

and Rehabilitation Environments.

Appl. Sci. 2021, 11, 4183. https://

doi.org/10.3390/app11094183

Academic Editors: Alessandro Di

Nuovo and Manuel Armada

Received: 26 March 2021

Accepted: 30 April 2021

Published: 4 May 2021

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Attribution (CC BY) license (https://

creativecommons.org/licenses/by/

4.0/).

Human Robotics Group, University of Alicante, San Vicente del Raspeig, 03690 Alicante, Spain;

oghernandez@unah.edu.hn (Ó.G.H.); vicente.morell@ua.es (V.M.); jl.ramon@ua.es (J.L.R.)

* Correspondence: carlos.jara@ua.es; Tel.: +34-965903400 (ext. 1094)

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