Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0

According to the Industry 4.0 paradigm, all objects in a factory, including people, are equipped with communication capabilities and integrated into cyber-physical systems (CPS). Human activity recognition (HAR) based on wearable sensors provides a method to connect people to CPS. Deep learning has...

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Detalles Bibliográficos
Autores principales: Zheng, Xiaochen, Wang, Meiqing, Ordieres-Meré, Joaquín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068555/
https://www.ncbi.nlm.nih.gov/pubmed/29970873
http://dx.doi.org/10.3390/s18072146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068555/
https://www.ncbi.nlm.nih.gov/pubmed/29970873
http://dx.doi.org/10.3390/s18072146

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