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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Language: | English English English |
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2018
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Online Access: | 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 http://irep.iium.edu.my/69665/ http://thesai.org/Publications/IJACSA |
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http://irep.iium.edu.my/69665/25/69665_Feature%20Fusion_%20H-ELM%20based%20Learned_article.pdfhttp://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
http://irep.iium.edu.my/69665/
http://thesai.org/Publications/IJACSA