A kinematic, imaging and electromyography dataset for human muscular manipulability index prediction
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| Título: | A kinematic, imaging and electromyography dataset for human muscular manipulability index prediction |
|---|---|
| Autor/es: | Hernández, Óscar G. | Lopez-Castellanos, Jose M. | Jara, Carlos A. | Garcia, Gabriel J. | Úbeda, Andrés | Morell, Vicente | Gomez-Donoso, Francisco |
| Grupo/s de investigación o GITE: | Human Robotics (HURO) | Robótica y Visión Tridimensional (RoViT) |
| Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Instituto Universitario de Investigación Informática |
| Palabras clave: | Human muscular manipulability | Images | Depth maps | Skeleton tracking data | Electromyography recordings | Dataset |
| Fecha de publicación: | 11-mar-2023 |
| Editor: | Springer Nature |
| Cita bibliográfica: | Scientific Data. 2023, 10:132. https://doi.org/10.1038/s41597-023-02031-3 |
| Resumen: | Human Muscular Manipulability is a metric that measures the comfort of an specific pose and it can be used for a variety of applications related to healthcare. For this reason, we introduce KIMHu: a Kinematic, Imaging and electroMyography dataset for Human muscular manipulability index prediction. The dataset is comprised of images, depth maps, skeleton tracking data, electromyography recordings and 3 different Human Muscular Manipulability indexes of 20 participants performing different physical exercises with their arm. The methodology followed to acquire and process the data is also presented for future replication. A specific analysis framework for Human Muscular Manipulability is proposed in order to provide benchmarking tools based on this dataset. |
| Patrocinador/es: | Óscar G. Hernández and José M. López Castellanos expresses their gratitude to the Fundación Carolina, the National Autonomous University of Honduras and the University of Alicante, for its funding support while this work was in preparation. This work has also been supported by an University of Alicante Grant GRE-20 (2021/00710/001) and by the Spanish Government Grant PID2019-104818RB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. |
| URI: | http://hdl.handle.net/10045/132725 |
| ISSN: | 2052-4463 |
| DOI: | 10.1038/s41597-023-02031-3 |
| Idioma: | eng |
| Tipo: | info:eu-repo/semantics/article |
| Derechos: | © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| Revisión científica: | si |
| Versión del editor: | https://doi.org/10.1038/s41597-023-02031-3 |
| Aparece en las colecciones: | INV - HURO - Artículos de Revistas INV - RoViT - Artículos de Revistas |
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