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...

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Bibliographic Details
Main Authors: Hiram Ponce, Luis Miralles-Pechuán, María de Lourdes Martínez-Villaseñor
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
artificial organic networks
artificial hydrocarbon networks
flexible human activity recognition
supervised machine learning
wearable sensors
flexibility
Online Access:http://www.mdpi.com/1424-8220/16/11/1715

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