Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data

The goal of this study is to address two major issues that undermine the large scale deployment of smart home sensing solutions in people’s homes. These include the costs associated with having to install and maintain a large number of sensors, and the pragmatics of annotating numerous sensor data s...

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Bibliographic Details
Main Authors: Laura Fiorini, Filippo Cavallo, Paolo Dario, Alexandra Eavis, Praminda Caleb-Solly
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/17/5/1034