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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...
Autores principales: | Bourobou, Serge Thomas Mickala, Yoo, Younghwan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
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 |
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