Human Pose Detection for Robotic-Assisted and Rehabilitation Environments
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Título: | Human Pose Detection for Robotic-Assisted and Rehabilitation Environments |
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Autor/es: | Hernández, Óscar G. | Morell, Vicente | Ramón, José L. | Jara, Carlos A. |
Grupo/s de investigación o GITE: | Human Robotics (HURO) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal |
Palabras clave: | Human–robot interaction | Human pose estimation | Robotic rehabilitation |
Área/s de conocimiento: | Ingeniería de Sistemas y Automática |
Fecha de publicación: | 4-may-2021 |
Editor: | MDPI |
Cita bibliográfica: | Hernández ÓG, Morell V, Ramon JL, Jara CA. Human Pose Detection for Robotic-Assisted and Rehabilitation Environments. Applied Sciences. 2021; 11(9):4183. https://doi.org/10.3390/app11094183 |
Resumen: | Assistance and rehabilitation robotic platforms must have precise sensory systems for human–robot interaction. Therefore, human pose estimation is a current topic of research, especially for the safety of human–robot collaboration and the evaluation of human biomarkers. Within this field of research, the evaluation of the low-cost marker-less human pose estimators of OpenPose and Detectron 2 has received much attention for their diversity of applications, such as surveillance, sports, videogames, and assessment in human motor rehabilitation. This work aimed to evaluate and compare the angles in the elbow and shoulder joints estimated by OpenPose and Detectron 2 during four typical upper-limb rehabilitation exercises: elbow side flexion, elbow flexion, shoulder extension, and shoulder abduction. A setup of two Kinect 2 RGBD cameras was used to obtain the ground truth of the joint and skeleton estimations during the different exercises. Finally, we provided a numerical comparison (RMSE and MAE) among the angle measurements obtained with OpenPose, Detectron 2, and the ground truth. The results showed how OpenPose outperforms Detectron 2 in these types of applications. |
Patrocinador/es: | Óscar G. Hernández holds a grant from the Spanish Fundación Carolina, the University of Alicante, and the National Autonomous University of Honduras. |
URI: | http://hdl.handle.net/10045/114994 |
ISSN: | 2076-3417 |
DOI: | 10.3390/app11094183 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.3390/app11094183 |
Aparece en las colecciones: | INV - HURO - Artículos de Revistas |
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