Margin-Based Deep Learning Networks for Human Activity Recognition

Human activity recognition (HAR) is a popular and challenging research topic, driven by a variety of applications. More recently, with significant progress in the development of deep learning networks for classification tasks, many researchers have made use of such models to recognise human activiti...

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Detalles Bibliográficos
Autores principales: Lv, Tianqi, Wang, Xiaojuan, Jin, Lei, Xiao, Yabo, Song, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181274/
https://www.ncbi.nlm.nih.gov/pubmed/32230986
http://dx.doi.org/10.3390/s20071871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181274/
https://www.ncbi.nlm.nih.gov/pubmed/32230986
http://dx.doi.org/10.3390/s20071871

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