Development of a User-Adaptable Human Fall Detection Based on Fall Risk Levels Using Depth Sensor

Unintentional falls are a major public health concern for many communities, especially with aging populations. There are various approaches used to classify human activities for fall detection. Related studies have employed wearable, non-invasive sensors, video cameras and depth sensor-based approac...

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Detalles Bibliográficos
Autores principales: Nizam, Yoosuf, Mohd, Mohd Norzali Haji, Jamil, M. Mahadi Abdul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069164/
https://www.ncbi.nlm.nih.gov/pubmed/30011823
http://dx.doi.org/10.3390/s18072260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069164/
https://www.ncbi.nlm.nih.gov/pubmed/30011823
http://dx.doi.org/10.3390/s18072260

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