A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection †

Falls are dangerous for the elderly, often causing serious injuries especially when the fallen person stays on the ground for a long time without assistance. This paper extends our previous work on the development of a Fall Detection System (FDS) using an inertial measurement unit worn at the waist....

Descripción completa

Detalles Bibliográficos
Autores principales: Zurbuchen, Nicolas, Wilde, Adriana, Bruegger, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866865/
https://www.ncbi.nlm.nih.gov/pubmed/33573347
http://dx.doi.org/10.3390/s21030938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866865/
https://www.ncbi.nlm.nih.gov/pubmed/33573347
http://dx.doi.org/10.3390/s21030938

Ejemplares similares