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Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls
Falling is a significant health problem. Fall detection, to alert for medical attention, has been gaining increasing attention. Still, most of the existing studies use falls simulated in a laboratory environment to test the obtained performance. We analyzed the acceleration signals recorded by an in...
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| Publicado en: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7697900/ https://ncbi.nlm.nih.gov/pubmed/33202738 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20226479 |
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