Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables

By Jing Zhai, Armando B. Barreto. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

321 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/890f37056d6d7e62ce434f676859afe033473734

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Citations in the corpus

Review on Psychological Stress Detection Using Biosignals (2019, methodology): “TABLE 7: OVERVIEW OF STRESS DETECTION STUDIES IN CHRONOLOGICAL ORDER, THEIR DETAILS AND BEST ACCURACY ACHIEVED Study Popula- tion (subjects) Women/ Men Age Stimuli Biosignals used Classifica- tion sys- tem Best Accu- racy achieved Womack and Hansen (1996) [230] 11 subjects men 22-76 simulated/actual”
Activity-Aware Mental Stress Detection Using Physiological Sensors (2010, methodology): “Zhai and Barreto applied an interactive “Paced Stroop Test,” a psychological test of the subject’s mental attention and flexibility, as a stimulus to elicit emotional stress in the subject [33].”
Self-Supervised ECG Representation Learning for Emotion Recognition (2020, background): “These data sources include facial expressions [12], motion and gait [13], speech [14], electrocardiogram (ECG) [15], electroencephalogram (EEG) [6], electrooculogram (EOG) [16], and galvanic skin response (GSR) [17] among others.”
A Stress Sensor Based on Galvanic Skin Response (GSR) Controlled by ZigBee (2012, unknown): “It uses just two electrodes which are placed on the fingers and act as if they were the two terminals of one resistance [3,4].”
cStress: Towards a Gold Standard for Continuous Stress Assessment in the Mobile Environment (2015, background): “In the ﬁrst case, the research efforts are focused on discovery and analysis of effective indicators of stress [49, 46, 19, 10, 51, 39].”
Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes (2021, methodology): “The variation of pupil size has been employed efficiently as an index of stress and arousal [124]–[126], [127].”
Discriminating Stress From Cognitive Load Using a Wearable EDA Device (2010, methodology): “Zhai and Barreto [ 19 ] used an interactive ‘Paced Stroop test,” where subjects had to select the font color of a word shown on the screen.”
Monitoring stress with a wrist device using context (2017, background): “As with many scientiﬁc problems, the problem is ﬁrst analyzed in constrained environments, e.g., a laboratory [8,17], ofﬁce [16], car (analysis while driving) [10], bed (analysis while sleeping) [11], and call center [15].”