SemNet: Learning semantic attributes for human activity recognition with deep belief networks

Human Activity Recognition (HAR) is a prominent application in mobile computing and Internet of Things (IoT) that aims to detect human activities based on multimodal sensor signals generated as a result of diverse body movements. Human physical activities are typically composed of simple actions (su...

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Detalles Bibliográficos
Autores principales: Venkatachalam, Shanmuga, Nair, Harideep, Zeng, Ming, Tan, Cathy Shunwen, Mengshoel, Ole J., Shen, John Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469877/
https://www.ncbi.nlm.nih.gov/pubmed/36111178
http://dx.doi.org/10.3389/fdata.2022.879389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469877/
https://www.ncbi.nlm.nih.gov/pubmed/36111178
http://dx.doi.org/10.3389/fdata.2022.879389

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