Functional movement screen dataset collected with two Azure Kinect depth sensors

This paper presents a dataset for vision-based autonomous Functional Movement Screen (FMS) collected from 45 human subjects of different ages (18–59 years old) executing the following movements: deep squat, hurdle step, in-line lunge, shoulder mobility, active straight raise, trunk stability push-up...

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Detalles Bibliográficos
Autores principales: Xing, Qing-Jun, Shen, Yuan-Yuan, Cao, Run, Zong, Shou-Xin, Zhao, Shu-Xiang, Shen, Yan-Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956653/
https://www.ncbi.nlm.nih.gov/pubmed/35338164
http://dx.doi.org/10.1038/s41597-022-01188-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956653/
https://www.ncbi.nlm.nih.gov/pubmed/35338164
http://dx.doi.org/10.1038/s41597-022-01188-7

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