A kinematic, imaging and electromyography dataset for human muscular manipulability index prediction

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. T...

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Detalles Bibliográficos
Autores principales: Hernández, Óscar G., Lopez-Castellanos, Jose M., Jara, Carlos A., Garcia, Gabriel J., Ubeda, Andres, Morell-Gimenez, Vicente, Gomez-Donoso, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008528/
https://www.ncbi.nlm.nih.gov/pubmed/36906700
http://dx.doi.org/10.1038/s41597-023-02031-3
Descripción
Sumario: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.

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