Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity
Widespread research on activity recognition is becoming an imperative topic for improving the quality of human health. The fast development of sensing technology has become a fundamental platform for researchers to implement a system that could fulfill human needs. Due to privacy interests and low c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Scientific and Technical research Council of Turkey - TUBITAK/Turkiye Bilimsel ve Teknik Arastirma Kurumu
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/74353/1/Two-stage%20feature%20selection%20using%20ranking%20self-adaptive%20differential%20evolution%20algorithm%20for%20recognition%20of%20acceleration%20activity.pdf |