Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human–computer interaction, that measure and improve our daily lives. Many of these applications are made possible by leveraging the rich collection of low-power sensors found in man...

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Detalles Bibliográficos
Autores principales: Zhang, Shibo, Li, Yaxuan, Zhang, Shen, Shahabi, Farzad, Xia, Stephen, Deng, Yu, Alshurafa, Nabil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879042/
https://www.ncbi.nlm.nih.gov/pubmed/35214377
http://dx.doi.org/10.3390/s22041476

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879042/
https://www.ncbi.nlm.nih.gov/pubmed/35214377
http://dx.doi.org/10.3390/s22041476

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