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Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks
Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to health systems and indirectly to society productivity. Unsurprisingly, human fall detection and prevention are a major focus of health resea...
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| Publicado en: | Sensors (Basel) |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6480090/ https://ncbi.nlm.nih.gov/pubmed/30959877 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071644 |
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