An ensemble deep learning model for human activity analysis using wearable sensory data-Reference-Cited by-同舟云学术

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An ensemble deep learning model for human activity analysis using wearable sensory data

Published:2024-07 Issue: Volume:159 Page:111599
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Batool Sheeza^ORCID,Khan Muhammad Hassan^ORCID,Farid Muhammad Shahid^ORCID

Funder

Higher Education Commission Pakistan

Publisher

Elsevier BV

Reference65 articles.

1. Human Activity Analysis in Visual Surveillance and Healthcare;Khan,2018

2. Incept_lstm: Accession for human activity concession in automatic surveillance;Girdhar;J. Discrete Math. Sci. Cryptogr.,2022

3. Smartwatch-based human activity recognition using hybrid lstm network;Mekruksavanich,2020

4. Issues and challenges in various sensor-based modalities in human activity recognition system;Kolkar,2021

5. Sensor-based and vision-based human activity recognition: A comprehensive survey;Dang;Pattern Recognit.,2020

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