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

被引:326
作者
Alberdi, Ane [1 ]
Aztiria, Asier [1 ]
Basarab, Adrian [2 ]
机构
[1] Mondragon Univ, Elect & Comp Dept, Goiru Kalea 2, Arrasate Mondragon 20500, Spain
[2] Univ Toulouse 3, IRIT, CNRS UMR 5505, Univ Toulouse, Toulouse, France
关键词
Stress; Early detection; Multimodality; Behaviour; Physiology; HEART-RATE-VARIABILITY; MENTAL STRESS; SENSORS; TELEMEDICINE; CLASSIFICATION; IMPLEMENTATION; TAXONOMY; FEATURES; MODEL; MOUSE;
D O I
10.1016/j.jbi.2015.11.007
中图分类号
TP39 [计算机的应用];
学科分类号
080201 [机械制造及其自动化];
摘要
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. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:49 / 75
页数:27
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