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A study on the impact of the users’ characteristics on the performance of wearable fall detection systems
Wearable Fall Detection Systems (FDSs) have gained much research interest during last decade. In this regard, Machine Learning (ML) classifiers have shown great efficiency in discriminating falls and conventional movements or Activities of Daily Living (ADLs) based on the analysis of the signals cap...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626458/ https://www.ncbi.nlm.nih.gov/pubmed/34836975 http://dx.doi.org/10.1038/s41598-021-02537-z |