Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Sensors 2012, 12(11), 15888-15906; doi:10.3390/s121115888
Article

A Presence-Based Context-Aware Chronic Stress Recognition System

1,* , 1
, 2
 and 1
Received: 20 September 2012; in revised form: 2 November 2012 / Accepted: 9 November 2012 / Published: 16 November 2012
(This article belongs to the Special Issue Ubiquitous Sensing)
View Full-Text   |   Download PDF [728 KB, uploaded 21 June 2014]
Abstract: Stressors encountered in daily life may play an important role in personal well-being. Chronic stress can have a serious long-term impact on our physical as well as our psychological health, due to ongoing increased levels of the chemicals released in the ‘fight or flight’ response. The currently available stress assessment methods are usually not suitable for daily chronic stress measurement. The paper presents a context-aware chronic stress recognition system that addresses this problem. The proposed system obtains contextual data from various mobile sensors and other external sources in order to calculate the impact of ongoing stress. By identifying and visualizing ongoing stress situations of an individual user, he/she is able to modify his/her behavior in order to successfully avoid them. Clinical evaluation of the proposed methodology has been made in parallel by using electrodermal activity sensor. To the best of our knowledge, the system presented herein is the first one that enables recognition of chronic stress situations on the basis of user context.
Keywords: presence; chronic stress; context awareness; embedded sensors; Hidden Markov models; health monitoring presence; chronic stress; context awareness; embedded sensors; Hidden Markov models; health monitoring
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Peternel, K.; Pogačnik, M.; Tavčar, R.; Kos, A. A Presence-Based Context-Aware Chronic Stress Recognition System. Sensors 2012, 12, 15888-15906.

AMA Style

Peternel K, Pogačnik M, Tavčar R, Kos A. A Presence-Based Context-Aware Chronic Stress Recognition System. Sensors. 2012; 12(11):15888-15906.

Chicago/Turabian Style

Peternel, Klemen; Pogačnik, Matevž; Tavčar, Rudi; Kos, Andrej. 2012. "A Presence-Based Context-Aware Chronic Stress Recognition System." Sensors 12, no. 11: 15888-15906.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert