title: A presence-based context-aware chronic stress  recognition system.
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 &#8216;fight or flight&#8217; 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.
authors.affiliation: Laboratory for Telecommunications, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia. klemen.peternel@ltfe.org
authors.forename: Klemen
authors.initials: K
authors.lastname: Peternel
authors.forename: Matevž
authors.initials: M
authors.lastname: Pogačnik
authors.forename: Rudi
authors.initials: R
authors.lastname: Tavčar
authors.forename: Andrej
authors.initials: A
authors.lastname: Kos
mesh_terms: D000223:Adaptation, Psychological; D001364:Awareness; D002908:Chronic Disease; D006801:Humans; D008603:Mental Health; D013312:Stress, Physiological; D013315:Stress, Psychological / Q000175:diagnosis*