Hybrid feature selection technique for classification of human activity recognition

Through the advancement of wearable sensors, wireless communication, and machine learning techniques, Assistive Technologies (AT) which endorse autonomous, active, and healthy lifestyles are emerging in recent years. Among these advances, Human Activity Recognition (HAR) is one of the most innovativ...

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Bibliographic Details
Main Author: Yusup, Norfadzlan
Format: Thesis
Published: 2021
Online Access:http://eprints.utm.my/id/eprint/101548/1/NorfadzlanYusupPSC2021.pdf
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