July 2012
Intermediate to advanced
788 pages
45h 47m
English
Content preview from Advances in Affective and Pleasurable Design
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624
C
HAPTER 67
Self-Adaptive Biometric
Signatures Based Emotion
Recognition System
Yuan Gu, Su-Lim Tan, Kai-Juan Wong
School of Computer Engineering
Nanyang Technological University
Singapore 639798
guyu0006@e.ntu.edu.sg, ASSLTan@ntu.edu.sg, ASKJWong@ntu.edu.sg
ABSTRACT
Robust and efficient emotion recognition is very important and challenging for
many physiological and augmented applications. These applications however,
usually suffer from the non-emotion-related varieties, the "individual varieties",
especially when cope with multiple subjects. In this paper, we proposed and
presented an improved grouping structure called the Self-Adaptive Biometric
Signatures Based (SABSB) emotion recognition system. The system is
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