Conceptual exploration and comparative study on the use of deep learning approach in HAR models

Human Activity Recognition (HAR) has taken great attention from researchers last few years, because of the promising results shown by deep learning, and the necessity to make a recognizer system, in this paper a comparison between two types of Convolutional Neural Network (CNN) architectures will be...

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Bibliographische Detailangaben

Hauptverfasser:	Mohialdeen, Abdulrahman S., Albaker, Baraa M., Alsaedi, Malik A
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Comparative studies Datasets Deep learning Human activity recognition Machine learning Recurrent neural networks Two dimensional models
Online-Zugang:	Volltext
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