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Unimodal and Multimodal Human Perceptionof Naturalistic Non-Basic Affective Statesduring Human-Computer Interactions
Found in: IEEE Transactions on Affective Computing
By Sidney K. DMello,Nia Dowell,Art Graesser
Issue Date:October 2013
pp. 452-465
The present study investigated unimodal and multimodal emotion perception by humans, with an eye for applying the findings towards automated affect detection. The focus was on assessing the reliability by which untrained human observers could detect natura...
 
Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals
Found in: IEEE Transactions on Affective Computing
By Omar AlZoubi,Sidney K. D'Mello,Rafael A. Calvo
Issue Date:July 2012
pp. 298-310
Signals from peripheral physiology (e.g., ECG, EMG, and GSR) in conjunction with machine learning techniques can be used for the automatic detection of affective states. The affect detector can be user-independent, where it is expected to generalize to nov...
 
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