A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks

A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks

Physical activity recognition based on sensors is a growing area of interest given the great advances in wearable sensors. Applications in various domains are taking advantage of the ease of obtaining data to monitor personal activities and behavior in order to deliver proactive and personalized ser...

Bibliografski detalji
Glavni autori:	Hiram Ponce, Luis Miralles-Pechuán, María de Lourdes Martínez-Villaseñor
Format:	Članak
Jezik:	English
Izdano:	MDPI AG 2016-10-01
Serija:	Sensors
Teme:	artificial organic networks artificial hydrocarbon networks flexible human activity recognition supervised machine learning wearable sensors flexibility
Online pristup:	http://www.mdpi.com/1424-8220/16/11/1715

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