Identifying Fall Risk Predictors by Monitoring Daily Activities at Home Using a Depth Sensor Coupled to Machine Learning Algorithms

Because of population ageing, fall prevention represents a human, economic, and social issue. Currently, fall-risk is assessed infrequently, and usually only after the first fall occurrence. Home monitoring could improve fall prevention. Our aim was to monitor daily activities at home in order to id...

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Detalles Bibliográficos
Autores principales: Dubois, Amandine, Bihl, Titus, Bresciani, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999588/
https://www.ncbi.nlm.nih.gov/pubmed/33799526
http://dx.doi.org/10.3390/s21061957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999588/
https://www.ncbi.nlm.nih.gov/pubmed/33799526
http://dx.doi.org/10.3390/s21061957

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