NDLI: Self-adaptive biometric signatures based emotion recognition system

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Self-adaptive biometric signatures based emotion recognition system

Content Provider	Scilit
Copyright Year	2012
Description	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 unique in that it transforms a traditional subject-independent problem into several subjectdependent cases to remove the influence of individual varieties. Also, the selfadaptive procedure allows a flexible model generating process which is more practical for real applications. The proposed framework is implemented and tested using mixture multivariate t-distributions (mmTD). Results are compared with conventional emotion recognition system as well as the original BSB system. Book Name: Advances in Affective and Pleasurable Design
Related Links	https://content.taylorfrancis.com/books/download?dac=C2010-0-49892-4&isbn=9780429064890&doi=10.1201/b12525-77&format=pdf
Ending Page	649
Page Count	10
Starting Page	640
DOI	10.1201/b12525-77
Language	English
Publisher	Informa UK Limited
Publisher Date	2012-07-17
Access Restriction	Open
Subject Keyword	Book Name: Advances in Affective and Pleasurable Design Information Systems Structure Model Adaptive Biometric Signatures Emotion Recognition System
Content Type	Text
Resource Type	Chapter

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