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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主要作者: Yusup, Norfadzlan
格式: Thesis
語言:English
出版: 2021
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在線閱讀:http://eprints.utm.my/id/eprint/101548/1/NorfadzlanYusupPSC2021.pdf
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