ICTs for improving Patients Rehabilitation Research Techniques

Research Article

Remote assessment of the Heart Rate Variability to detect mental stress

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252181,
        author={Fr\^{e}d\^{e}ric Bousefsaf and Choubeila Maaoui and Alain Pruski},
        title={Remote assessment of the Heart Rate Variability to detect mental stress},
        proceedings={ICTs for improving Patients Rehabilitation Research Techniques},
        publisher={IEEE},
        proceedings_a={REHAB},
        year={2013},
        month={5},
        keywords={heart rate variability non-contact emotions mental stress detection virtual reality webcam},
        doi={10.4108/icst.pervasivehealth.2013.252181}
    }
    
  • Frédéric Bousefsaf
    Choubeila Maaoui
    Alain Pruski
    Year: 2013
    Remote assessment of the Heart Rate Variability to detect mental stress
    REHAB
    IEEE
    DOI: 10.4108/icst.pervasivehealth.2013.252181
Frédéric Bousefsaf1,*, Choubeila Maaoui1, Alain Pruski1
  • 1: Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS)
*Contact email: frederic.bousefsaf@univ-lorraine.fr

Abstract

In the present paper, we introduce a new framework for detecting workload changes using video frames obtained from a low-cost webcam. The measurements are performed on human faces and the proposed algorithms were developed to be motion-tolerant. An interactive Stroop color word test is employed to induce stress on a set of twelve participants. We record the skin conductance and compare these responses to the stress curve assessed by a webcam-derived heart rate variability analysis. The results offer further support for the applicability of stress detection by remote and low-cost means, providing an alternative to conventional contact techniques.