Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computi 2018
DOI: 10.1145/3267305.3267618
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EEG Metrics to Determine Cognitive Load and Affective States

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Cited by 7 publications
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“…A substantial body of ubicomp research explores the detection of emotion and mood using pervasive, mobile, and wearable sensing solutions. Despite some promising results, many studies highlight the challenges of reliably inferring emotion from autonomous physiological and neural measures such as Electrocardiography (ECG) [9], Electrodermal activity (EDA) (or Galvanic Skin Response (GSR)) [1,10], Heart-rate variability (HRV) [16], and Electroencephalography (EEG) [12,17]. Similarly, automated detection of facial expressions -though of increasing commercial interest as an approach to infer emotion -is found to be problematic when using naturalistic images [27].…”
Section: Introductionmentioning
confidence: 99%
“…A substantial body of ubicomp research explores the detection of emotion and mood using pervasive, mobile, and wearable sensing solutions. Despite some promising results, many studies highlight the challenges of reliably inferring emotion from autonomous physiological and neural measures such as Electrocardiography (ECG) [9], Electrodermal activity (EDA) (or Galvanic Skin Response (GSR)) [1,10], Heart-rate variability (HRV) [16], and Electroencephalography (EEG) [12,17]. Similarly, automated detection of facial expressions -though of increasing commercial interest as an approach to infer emotion -is found to be problematic when using naturalistic images [27].…”
Section: Introductionmentioning
confidence: 99%