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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Detalles Bibliográficos
Autores principales: Palmerini, Luca, Klenk, Jochen, Becker, Clemens, Chiari, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697900/
https://www.ncbi.nlm.nih.gov/pubmed/33202738
http://dx.doi.org/10.3390/s20226479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697900/
https://www.ncbi.nlm.nih.gov/pubmed/33202738
http://dx.doi.org/10.3390/s20226479

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