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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...
Autores principales: | Cotechini, Valentina, Belli, Alberto, Palma, Lorenzo, Morettini, Micaela, Burattini, Laura, Pierleoni, Paola |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
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 |
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