Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing

With the continuous spread of COVID-19 virus, how to guarantee the healthy living of people especially the students who are of relative weak physique is becoming a key research issue of significant values. Specifically, precise recognition of the anomaly in student health conditions is beneficial to...

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Detalles Bibliográficos
Autores principales: Xie, Yu, Zhang, Kuilin, Kou, Huaizhen, Mokarram, Mohammad Jafar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444123/
https://www.ncbi.nlm.nih.gov/pubmed/36093280
http://dx.doi.org/10.1186/s13677-022-00300-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444123/
https://www.ncbi.nlm.nih.gov/pubmed/36093280
http://dx.doi.org/10.1186/s13677-022-00300-x

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