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Explaining and Visualizing Embeddings of One-Dimensional Convolutional Models in Human Activity Recognition Tasks
Human Activity Recognition (HAR) is a complex problem in deep learning, and One-Dimensional Convolutional Neural Networks (1D CNNs) have emerged as a popular approach for addressing it. These networks efficiently learn features from data that can be utilized to classify human activities with high pe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181687/ https://www.ncbi.nlm.nih.gov/pubmed/37177616 http://dx.doi.org/10.3390/s23094409 |