Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders

Activity recognition has received considerable attention in many research fields, such as industrial and healthcare fields. However, many researches about activity recognition have focused on static activities and dynamic activities in current literature, while, the transitional activities, such as...

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Detalles Bibliográficos
Autores principales: Ni, Qin, Fan, Zhuo, Zhang, Lei, Nugent, Chris D., Cleland, Ian, Zhang, Yuping, Zhou, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570862/
https://www.ncbi.nlm.nih.gov/pubmed/32911780
http://dx.doi.org/10.3390/s20185114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570862/
https://www.ncbi.nlm.nih.gov/pubmed/32911780
http://dx.doi.org/10.3390/s20185114

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