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Context Awareness in Learning Human Habits

Authors:
Szymon Bobek
Weronika Adrian

Keywords: Context-awareness; machine learning; ontologies; mobile applications.

Abstract:
Mobile devices have gained steadily increasing popularity over the last few years. They collect and process various kinds of data which can be used as rich inputs to infer user preferences and habits. In this paper, we propose an architecture of a mobile application that will serve as an intelligent assistant capable of learning human habits and giving suggestions and recommendations. The system will learn patterns in its user’s behavior with respect to his or her location, social preferences and activities that can be measured with a mobile phone sensors. Data gathered by the mobile device will be used to model daily, monthly or annual routines of the user. Based on that model, the mobile assistant will be able to find deviations in an organizational rhythm of the user and perform appropriate actions. The system will uses machine learning algorithms and ontologies to learn and model human behavior.

Pages: 98 to 101

Copyright: Copyright (c) IARIA, 2012

Publication date: November 18, 2012

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-230-1

Location: Lisbon, Portugal

Dates: from November 18, 2012 to November 23, 2012