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Imitating Emergencies: Generating Thermal Surveillance Fall Data Using Low-Cost Human-like Dolls
Outdoor fall detection, in the context of accidents, such as falling from heights or in water, is a research area that has not received as much attention as other automated surveillance areas. Gathering sufficient data for developing deep-learning models for such applications has also proven to be n...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840151/ https://www.ncbi.nlm.nih.gov/pubmed/35161571 http://dx.doi.org/10.3390/s22030825 |