Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity

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...

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Bibliographic Details
Main Authors: Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Mohamed, Raihani
Format: Article
Language:English
Published: Scientific and Technical research Council of Turkey - TUBITAK/Turkiye Bilimsel ve Teknik Arastirma Kurumu 2018
Online Access:http://psasir.upm.edu.my/id/eprint/74353/
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

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