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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...