Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning

The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields. Currently, compared to questionnaires, social media as a se...

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Detalles Bibliográficos
Autores principales: Gong, Junfang, Li, Runjia, Yao, Hong, Kang, Xiaojun, Li, Shengwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843133/
https://www.ncbi.nlm.nih.gov/pubmed/31627356
http://dx.doi.org/10.3390/ijerph16203955

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843133/
https://www.ncbi.nlm.nih.gov/pubmed/31627356
http://dx.doi.org/10.3390/ijerph16203955

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