Cargando…
Clustering-Based Ensemble Learning for Activity Recognition in Smart Homes
Application of sensor-based technology within activity monitoring systems is becoming a popular technique within the smart environment paradigm. Nevertheless, the use of such an approach generates complex constructs of data, which subsequently requires the use of intricate activity recognition techn...
Autores principales: | Jurek, Anna, Nugent, Chris, Bi, Yaxin, Wu, Shengli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168494/ https://www.ncbi.nlm.nih.gov/pubmed/25014095 http://dx.doi.org/10.3390/s140712285 |
Ejemplares similares
-
Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments
por: Irvine, Naomi, et al.
Publicado: (2019) -
Simulation of Smart Home Activity Datasets
por: Synnott, Jonathan, et al.
Publicado: (2015) -
Recognition of Daily Activities of Two Residents in a Smart Home Based on Time Clustering
por: Guo, Jinghuan, et al.
Publicado: (2020) -
Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data
por: Kasaraneni, Purna Prakash, et al.
Publicado: (2022) -
Improving Recognition of Overlapping Activities with Less Interclass Variations in Smart Homes through Clustering-Based Classification
por: Sarwar, Muhammad Usman, et al.
Publicado: (2022)