Exploring Elderly Activity Recognition Using Deep Learning Through Sensor-Enabled Android App Data Collection-Reference-Cited by-同舟云学术

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Exploring Elderly Activity Recognition Using Deep Learning Through Sensor-Enabled Android App Data Collection

Published:2024-01-18 Issue: Volume: Page:582-587
ISSN:
Container-title:2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)
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Author:

Haque Md. Mahmudul¹,Maruf Abdullah Al¹,Obeid Ali Jalil²,Judi Hawraa Kareem³,Bhuiyan Mahmud Hasan⁴,Aung Zeyar⁵

Affiliation:

1. Bangladesh University of Business & Technology (BUBT),Department of Computer Science & Engineering,Dhaka,Bangladesh

2. Al-Qasim Green University,Al-Qasim,Iraq

3. Hilla University College,Babylon,Iraq

4. American International University,Department of Computer Science & Engineering,Dhaka,Bangladesh

5. Khalifa University,Department of Computer Science,Abu Dhabi,United Arab Emirates

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10474598/10474599/10474756.pdf?arnumber=10474756

Reference22 articles.

1. goldenAGER: A Personalized Feature Fusion Activity Recognition Model for Elderly

2. Video-Based Human Activity Recognition for Elderly Using Convolutional Neural Network

3. Advanced Sensing and Human Activity Recognition in Early Intervention and Rehabilitation of Elderly People

4. Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition

5. Genetic Algorithm-Based Classifiers Fusion for Multisensor Activity Recognition of Elderly People

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