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StayActive: An Application for Detecting Stress

Authors:
Panagiotis Kostopoulos
Tiago Nunes
Kevin Salvi
Mauricio Togneri
Michel Deriaz

Keywords: Stress Detection; Smartphone; Sleeping Pattern; Social Interaction; Physical Activity.

Abstract:
In today's society, working environments are becoming more stressful and people working in these environments become prone to various illnesses. But, work should be a source of health, pride and happiness, in the sense of enhancing motivation and strengthening personal development. In this work, we present StayActive, a system which aims to detect stress and burn-out risks by analyzing the behaviour of the users via their smartphone. In particular, we collect data from people's daily phone usage gathering information about the sleeping pattern, the social interaction and the physical activity of the user. We assign a weight factor to each of these three dimensions of wellbeing according to the user's personal perception and build a stress detection system. We evaluate our system in a real world environment and in a daily-routine scenario. This paper highlights the architecture and model of this innovative stress detection system.

Pages: 40 to 43

Copyright: Copyright (c) IARIA, 2015

Publication date: November 15, 2015

Published in: conference

ISSN: 2326-9286

ISBN: 978-1-61208-444-2

Location: Barcelona, Spain

Dates: from November 15, 2015 to November 20, 2015