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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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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | 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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