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A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets
Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention during the last years. The core of a FDS is the algorithm that discriminat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085732/ https://www.ncbi.nlm.nih.gov/pubmed/32155936 http://dx.doi.org/10.3390/s20051466 |