NDLI: Facial Expression Recognition of Various Internal States via Manifold Learning

Content Provider	Springer Nature Link
Author	Shin, Young Suk
Copyright Year	2009
Abstract	Emotions are becoming increasingly important in human-centered interaction architectures. Recognition of facial expressions, which are central to human-computer interactions, seems natural and desirable. However, facial expressions include mixed emotions, continuous rather than discrete, which vary from moment to moment. This paper represents a novel method of recognizing facial expressions of various internal states via manifold learning, to achieve the aim of human-centered interaction studies. A critical review of widely used emotion models is described, then, facial expression features of various internal states via the locally linear embedding (LLE) are extracted. The recognition of facial expressions is created with the pleasure-displeasure and arousal-sleep dimensions in a two-dimensional model of emotion. The recognition result of various internal state expressions that mapped to the embedding space via the LLE algorithm can effectively represent the structural nature of the two-dimensional model of emotion. Therefore our research has established that the relationship between facial expressions of various internal states can be elaborated in the two-dimensional model of emotion, via the locally linear embedding algorithm.
Starting Page	745
Ending Page	752
Page Count	8
File Format	PDF
ISSN	10009000
Journal	Journal of Computer Science and Technology
Volume Number	24
Issue Number	4
e-ISSN	18604749
Language	English
Publisher	Springer US
Publisher Date	2009-09-11
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	manifold learning locally linear embedding dimension model pleasure-displeasure dimension arousal-sleep dimension Information Systems Applications (incl.Internet) Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Theory of Computation Software Engineering Computer Science
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computational Theory and Mathematics Computer Science Applications Software Hardware and Architecture

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