A Multi-Task Learning Framework for Emotion Recognition Using 2D Continuous Space

• Published in: IEEE transactions on affective computing Vol. 8; no. 1; pp. 3 - 14
• Main Authors: Xia, Rui, Liu, Yang
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acoustics; Activation; Belief networks; Categorical emotion recognition; deep belief network; Emotion recognition; Emotions; Feature extraction; Human motion; Iterative methods; Learning; Linear programming; Motion capture; multi-task learning; Psychology; Speech; Support vector machines; Two dimensional models; valence

Dimensional models have been proposed in psychology studies to represent complex human emotional expressions. Activation and valence are two common dimensions in such models. They can be used to describe certain emotions. For example, anger is one type of emotion with a low valence and high activati...