A dataset for the development and optimization of fall detection algorithms based on wearable sensors

This paper describes a dataset acquired on 8 subjects while simulating 13 types of falls and 5 types of Activities of Daily Living (ADL), each repeated 3 times. In details, data includes 4 simulated falls forward (falling on knees ending up lying, ending in lateral position, ending up lying, ending...

Descripción completa

Detalles Bibliográficos
Autores principales: Cotechini, Valentina, Belli, Alberto, Palma, Lorenzo, Morettini, Micaela, Burattini, Laura, Pierleoni, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660610/
https://www.ncbi.nlm.nih.gov/pubmed/31372467
http://dx.doi.org/10.1016/j.dib.2019.103839

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660610/
https://www.ncbi.nlm.nih.gov/pubmed/31372467
http://dx.doi.org/10.1016/j.dib.2019.103839

Ejemplares similares