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Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning
The detection of activities of daily living (ADL) and the detection of falls is of utmost importance for addressing the issue of serious injuries and death as a consequence of elderly people falling. Wearable sensors can provide a viable solution for monitoring people in danger of falls with minimal...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378757/ https://www.ncbi.nlm.nih.gov/pubmed/32640526 http://dx.doi.org/10.3390/s20133777 |