2015
DOI: 10.1109/mc.2015.316
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Stress Detection Using Physiological Sensors

Abstract: Physiological signals such as electrodermal activity and heart rate can help computing systems detect a user's stress level. Integrating additional measures not yet exploited by such systems could significantly increase stress-detection accuracy, enabling many new applications. © 2014 IEEE

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Cited by 75 publications
(29 citation statements)
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“…In this paper, we investigate the effect of stress on task performance in smartphones. According to Lazarus et al [23], stress can be defined in terms of the relationship between an individual and an environment or situation [51]. Given this notion [23] and the temporal effect of certain stressors (personal or work-related) on human behaviour [26,55], stress has been identified as a potential cause of situational impairment that is likely to have an impact during mobile interaction [43].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we investigate the effect of stress on task performance in smartphones. According to Lazarus et al [23], stress can be defined in terms of the relationship between an individual and an environment or situation [51]. Given this notion [23] and the temporal effect of certain stressors (personal or work-related) on human behaviour [26,55], stress has been identified as a potential cause of situational impairment that is likely to have an impact during mobile interaction [43].…”
Section: Introductionmentioning
confidence: 99%
“…In Eq. 3, ∈ {0,1} chooses either a tonic or a phasic atom, ∈ and ∈ (1) or ∈ (2) or ∈ (3) were the parameters of ℎ atom. Then, the phasic atoms were grouped according to their location with a histogram of values to capture one SCR as:…”
Section: Overview Of Existing Models I) Sparse Decomposition Modelmentioning
confidence: 99%
“…Usually, it is influenced by several cognitive, emotional and motor tasks. Mostly, the EDA analysis approaches have been focused on two major features of the physiological signal, namely phasic and tonic [2].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, there is an urgent need to create new technologies to monitor the physical and mental health of people during their daily life. Fortunately, some efforts are being carried out towards monitoring and regulating people’s arousal state [ 1 , 2 , 3 ], which is indicative of stress or mental illness [ 4 , 5 , 6 , 7 ]. Thus, the lack of human–machine interfaces in interpreting the subjects’ emotional states is being faced with the important aim of understanding and managing personal well-being regarding mental health state.…”
Section: Introductionmentioning
confidence: 99%