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Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images
With the emergence of COVID-19, mobile health applications have increasingly become crucial in contact tracing, information dissemination, and pandemic control in general. Apps warn users if they have been close to an infected person for sufficient time, and therefore potentially at risk. The distan...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer London
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009079/ https://www.ncbi.nlm.nih.gov/pubmed/33814729 http://dx.doi.org/10.1007/s00521-021-05913-y |