Remote assessment of the Heart Rate Variability to detect mental stress

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.
Type de document :
Communication dans un congrès
1st Workshop on ICTs for improving Patients Rehabilitation Research Techniques (REHAB 2013), May 2013, Venise, Italy. PervasiveHealth '13 Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
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https://hal.univ-lorraine.fr/hal-01379403
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Soumis le : mardi 11 octobre 2016 - 14:41:41
Dernière modification le : mercredi 22 novembre 2017 - 10:56:27

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  • HAL Id : hal-01379403, version 1

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Frédéric Bousefsaf, Choubeila Maaoui, Alain Pruski. Remote assessment of the Heart Rate Variability to detect mental stress. 1st Workshop on ICTs for improving Patients Rehabilitation Research Techniques (REHAB 2013), May 2013, Venise, Italy. PervasiveHealth '13 Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare. 〈hal-01379403〉

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