Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data

Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data

The field of human activity recognition, abbreviated as HAR, benefits significantly from deep learning by addressing the complexity of human behavior and the vast volume of data produced by sensors. This work adopted the strategy of converting inertial data, such as accelerometer and gyroscope signa...

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Bibliographic Details
Main Authors: Wallace Camacho Carlos, Alessandro Copetti, Luciano Bertini, Leonard Barreto Moreira, Otávio de Souza Martins Gomes
Format: Article
Language:English
Published: AIMS Press 2024-11-01
Series:AIMS Bioengineering
Subjects:
activity recognition
recurrence plot
2d-dl
cnn
lstm
Online Access:https://www.aimspress.com/article/doi/10.3934/bioeng.2024024
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https://www.aimspress.com/article/doi/10.3934/bioeng.2024024

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