A Fast and Robust Deep Convolutional Neural Networks for Complex Human Activity Recognition Using Smartphone

As a significant role in healthcare and sports applications, human activity recognition (HAR) techniques are capable of monitoring humans’ daily behavior. It has spurred the demand for intelligent sensors and has been giving rise to the explosive growth of wearable and mobile devices. They provide t...

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Detalles Bibliográficos
Autores principales: Qi, Wen, Su, Hang, Yang, Chenguang, Ferrigno, Giancarlo, De Momi, Elena, Aliverti, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749356/
https://www.ncbi.nlm.nih.gov/pubmed/31470521
http://dx.doi.org/10.3390/s19173731

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749356/
https://www.ncbi.nlm.nih.gov/pubmed/31470521
http://dx.doi.org/10.3390/s19173731

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