An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection

The fixed-size non-overlapping sliding window (FNSW) and fixed-size overlapping sliding window (FOSW) approaches are the most commonly used data-segmentation techniques in machine learning-based fall detection using accelerometer sensors. However, these techniques do not segment by fall stages (pre-...

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Detalles Bibliográficos
Autores principales: Putra, I Putu Edy Suardiyana, Brusey, James, Gaura, Elena, Vesilo, Rein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795925/
https://www.ncbi.nlm.nih.gov/pubmed/29271895
http://dx.doi.org/10.3390/s18010020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795925/
https://www.ncbi.nlm.nih.gov/pubmed/29271895
http://dx.doi.org/10.3390/s18010020

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