User Activity Recognition in Smart Homes Using Pattern Clustering Applied to Temporal ANN Algorithm

This paper discusses the possibility of recognizing and predicting user activities in the IoT (Internet of Things) based smart environment. The activity recognition is usually done through two steps: activity pattern clustering and activity type decision. Although many related works have been sugges...

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Detalles Bibliográficos
Autores principales: Bourobou, Serge Thomas Mickala, Yoo, Younghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481973/
https://www.ncbi.nlm.nih.gov/pubmed/26007738
http://dx.doi.org/10.3390/s150511953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481973/
https://www.ncbi.nlm.nih.gov/pubmed/26007738
http://dx.doi.org/10.3390/s150511953

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