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Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review

Abstract : Stress is a major problem of our society, as it is the cause of many health problems and huge economic losses in companies. Continuous high mental workloads and non-stop technological development, which leads to constant change and need for adaptation, makes the problem increasingly serious for office workers. To prevent stress from becoming chronic and provoking irreversible damages, it is necessary to detect it in its early stages. Unfortunately, an automatic, continuous and unobtrusive early stress detection method does not exist yet. The multimodal nature of stress and the research conducted in this area suggest that the developed method will depend on several modalities. Thus, this work reviews and brings together the recent works carried out in the automatic stress detection looking over the measurements executed along the three main modalities, namely, psychological, physiological and behavioural modalities, along with contextual measurements, in order to give hints about the most appropriate techniques to be used and thereby, to facilitate the development of such a holistic system.
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Submitted on : Wednesday, February 10, 2016 - 9:30:51 AM
Last modification on : Monday, July 4, 2022 - 9:26:14 AM
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Ane Alberdi, Asier Aztiria, Adrian Basarab. Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review. Journal of Biomedical Informatics, Elsevier, 2016, vol. 59, pp. 49-75. ⟨10.1016/j.jbi.2015.11.007⟩. ⟨hal-01272036⟩

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