Explaining and Visualizing Embeddings of One-Dimensional Convolutional Models in Human Activity Recognition Tasks

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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Bibliographic Details
Main Authors: Gustavo Aquino, Marly Guimarães Fernandes Costa, Cícero Ferreira Fernandes Costa Filho
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
human activity recognition
accelerometer data
deep learning
one-dimensional convolutional neural networks
embeddings
explainable artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/23/9/4409

Internet

https://www.mdpi.com/1424-8220/23/9/4409

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