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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/69665/ http://irep.iium.edu.my/69665/ http://irep.iium.edu.my/69665/1/Fulpaper.pdf http://irep.iium.edu.my/69665/13/Acceptance%20Letter%2069665.pdf http://irep.iium.edu.my/69665/19/69665_Feature%20Fusion%20H-ELM%20based%20learned%20features%20and%20hand-crafted%20features_scopus.pdf |
Internet
http://irep.iium.edu.my/69665/http://irep.iium.edu.my/69665/
http://irep.iium.edu.my/69665/1/Fulpaper.pdf
http://irep.iium.edu.my/69665/13/Acceptance%20Letter%2069665.pdf
http://irep.iium.edu.my/69665/19/69665_Feature%20Fusion%20H-ELM%20based%20learned%20features%20and%20hand-crafted%20features_scopus.pdf