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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| 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 |