Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments

In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-driven approaches rely on good quality data during training, however, a shortage of high quality, large-scale, and accurately annotated HAR datasets exists for recognizing activities of daily living (ADLs) wi...

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Detalles Bibliográficos
Autores principales: Irvine, Naomi, Nugent, Chris, Zhang, Shuai, Wang, Hui, NG, Wing W. Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982871/
https://www.ncbi.nlm.nih.gov/pubmed/31905991
http://dx.doi.org/10.3390/s20010216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982871/
https://www.ncbi.nlm.nih.gov/pubmed/31905991
http://dx.doi.org/10.3390/s20010216

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