A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition

A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition

Recent advances in artificial intelligence and machine learning (ML) led to effective methods and tools for analyzing the human behavior. Human Activity Recognition (HAR) is one of the fields that has seen an explosive research interest among the ML community due to its wide range of applications. H...

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Bibliographic Details
Main Authors: Saedeh Abbaspour, Faranak Fotouhi, Ali Sedaghatbaf, Hossein Fotouhi, Maryam Vahabi, Maria Linden
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
human activity recognition
deep learning
convolutional neural nets
long short-term memory
gated recurrent unit
Online Access:https://www.mdpi.com/1424-8220/20/19/5707

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https://www.mdpi.com/1424-8220/20/19/5707

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