A Multi-Section Hierarchical Deep Neural Network Model for Time Series Classification: Applied to Wearable Sensor-Based Human Activity Recognition

Time Series Classification, is one of the very challenging areas in pattern recognition problems. As the volume of time series data increases, a multitude of TSC algorithms have been developed. Notably, only a limited number of these approaches have ventured into the realm of Deep Neural Networks to...

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Bibliografiske detaljer

Principais autores:	Zahra Ghorrati, Ahmad Esmaeili, T. Eric Matson
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Deep learning time series classification hierarchical classification human activity recognition wearable sensors
Online adgang:	https://ieeexplore.ieee.org/document/10681425/
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