Recognizing complex human activities using hybrid feature selections based on an accelerometer sensor

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Recognizing complex human activities using hybrid feature selections based on an accelerometer sensor

Wearable sensor technology is evolving in parallel with the demand for human activity monitoring applications. According to World Health Organization (WHO), the percentage of health problems occurring in the world population, such as diabetes, heart problem, and high blood pressure rapidly increase...

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Bibliographic Details
Main Authors:	Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md Nasir, Mustapha, Norwati, Perumal, Thinagaran, Mohamed, Raihani
Format:	Article
Published:	Faculty of Engineering, Universitas Indonesia 2017
Online Access:	http://psasir.upm.edu.my/id/eprint/62920/

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