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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6982871/ https://ncbi.nlm.nih.gov/pubmed/31905991 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010216 |
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