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Sensor-Based Human Activity Recognition Using Adaptive Class Hierarchy
In sensor-based human activity recognition, many methods based on convolutional neural networks (CNNs) have been proposed. In the typical CNN-based activity recognition model, each class is treated independently of others. However, actual activity classes often have hierarchical relationships. It is...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623838/ https://www.ncbi.nlm.nih.gov/pubmed/34833819 http://dx.doi.org/10.3390/s21227743 |