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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Data Brief
Egile Nagusiak: Cotechini, Valentina, Belli, Alberto, Palma, Lorenzo, Morettini, Micaela, Burattini, Laura, Pierleoni, Paola
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Elsevier 2019
Gaiak:
Engineering
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6660610/
https://ncbi.nlm.nih.gov/pubmed/31372467
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2019.103839
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