Feature fusion H-ELM based learned features and hand-crafted features for human activity recognition

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Feature fusion H-ELM based learned features and hand-crafted features for human activity recognition

Recognizing human activities is one of the main goals of human-centered intelligent systems. Smartphone sensors produce a continuous sequence of observations. These observations are noisy, unstructured and high dimensional. Therefore, efficient features have to be extracted in order to perform accur...

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Bibliographic Details
Main Authors:	AlDahoul, Nouar, Htike, Zaw Zaw
Format:	Article
Language:	English English English
Published:	2018
Subjects:	Q350 Information theory
Online Access:	http://irep.iium.edu.my/69665/ http://irep.iium.edu.my/69665/25/69665_Feature%20Fusion_%20H-ELM%20based%20Learned_article.pdf http://irep.iium.edu.my/69665/19/69665_Feature%20Fusion%20H-ELM%20based%20learned%20features%20and%20hand-crafted%20features_scopus.pdf http://irep.iium.edu.my/69665/26/69665_Feature%20Fusion_%20H-ELM%20based%20Learned_wos.pdf

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