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...

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Detalles Bibliográficos
Autores principales: Aquino, Gustavo, Costa, Marly Guimarães Fernandes, Filho, Cícero Ferreira Fernandes Costa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181687/
https://www.ncbi.nlm.nih.gov/pubmed/37177616
http://dx.doi.org/10.3390/s23094409

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