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Communication Dans Un Congrès Année : 2014

Remote assessment of physiological parameters by non-contact technologies to quantify and detect mental stress states

Résumé

We present and investigate, in the first part of this paper, a set of published works that may be employed to remotely quantify mental stress based on physiological signals by non-contact means. Several techniques can be used to this purpose, thermal imaging being currently the most advanced in our knowledge. Webcams correspond to a ubiquitous and to the most accessible techniques in the particular purpose of mental stress detection. After all these theoretical reminders, we present a pilot study based on a new framework that was developed to detect mental workload changes using video frames obtained from a low-cost webcam. To induce stress, we have employed a computerized Stroop color word test on twelve subjects. The results offer further support for the applicability of mental workload detection by remote and low-cost means, providing an alternative to conventional contact techniques.
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Dates et versions

hal-01323836 , version 1 (20-02-2021)

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  • HAL Id : hal-01323836 , version 1

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Frederic Bousefsaf, Choubeila Maaoui, Alain Pruski. Remote assessment of physiological parameters by non-contact technologies to quantify and detect mental stress states. 2014 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2014, Unknown, Unknown Region. pp.719-723. ⟨hal-01323836⟩
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