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...

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Detalles Bibliográficos
Autores principales: D’Angelo, Gianni, Palmieri, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2021
Materias:
Special Issue on IoT-based Health Monitoring System
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

Internet

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

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