Recognizing Complex Human Activities using Hybrid Feature Selections based on an Accelerometer Sensor

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 increases...

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Detalles Bibliográficos
Autores principales: M.N.Shah Zainudin, Md Nasir Sulaiman, Norwati Mustapha, Thinagaran Perumal, Raihani Mohamed
Formato: Artículo
Lenguaje:English
Publicado: Universitas Indonesia 2017-10-01
Colección:International Journal of Technology
Materias:
Accelerometer
Differential evolution (D)
Evolutionary algorithm (EA)
PSO
Genetic algorithm (GA)
Particle swarm optimization (PSO)
Relief-f
Tabu search algorithm
Acceso en línea:http://ijtech.eng.ui.ac.id/article/view/879

Internet

http://ijtech.eng.ui.ac.id/article/view/879

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