Classification and monitoring of arm exercises using machine learning and wrist-worn band-Reference-Cited by-同舟云学术

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Classification and monitoring of arm exercises using machine learning and wrist-worn band

Published:2024-09 Issue: Volume:27 Page:100534
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Bilal Asghar Aamer,Majeed Maham,Taseer Abdullah,Burhan Khan Muhammad,Naveed Khazina,Hussain Jaffery Mujtaba,Sayed Mohammed Metwally Ahmed,Ejsmont Krzysztof,Nejman Mirosław

Funder

King Saud University

Warsaw University of Technology

Publisher

Elsevier BV

Reference37 articles.

1. Machine learning for healthcare wearable devices: the big picture;Sabry;Journal of Healthcare Engineering,2022

2. Deep learning in human activity recognition with wearable sensors: a review on advances;Zhang;Sensors,2022

3. Smart detecting and versatile wearable electrical sensing mediums for healthcare;Ali;Sensors,2023

4. Accuracy of wrist-worn wearable devices for determining exercise intensity;Ho;Digital Health,2022

5. Feasibility of a chest-worn accelerometer for physical activity measurement;Zhang;J Sci Med Sport,2016

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