Real-time monitoring of behavioural parameters related to psychological stress

Dimitris Giakoumis, Anastasios Drosou, Pietro Cipresso, Dimitrios Tzovaras, George Hassapis, Andrea Gaggioli, Giuseppe Riva

Research output: Chapter in Book/Report/Conference proceedingChapter


We have developed a system, allowing real-time monitoring of human gestures, which can be used for the automatic recognition of behavioural correlates of psychological stress. The system is based on a low-cost camera (Microsoft Kinect), which provides video recordings capturing the subject's upper body activity. Motion History Images (MHIs) are calculated in real-time from these recordings. Appropriate algorithms are thereafter applied over the MHIs, enabling the real-time calculation of activity-related behavioural parameters. The system's efficiency in real-time calculation of behavioural parameters has been tested in a pilot trial, involving monitoring of behavioural parameters during the induction of mental stress. Results showed that our prototype is capable to effectively calculate simultaneously eight different behavioural parameters in real-time. Statistical analysis indicated significant correlations between five of these parameters and self-reported stress. The preliminary findings suggest that our approach could potentially prove useful within systems targeting automatic stress detection, through unobtrusive monitoring of subjects.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Number of pages5
Publication statusPublished - 2012


  • Behavioural parameters
  • gestures
  • real-time monitoring
  • stress

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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