Emotion recognition : a pattern analysis approach / Amit Konar, Aruna Chakraborty.

"Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style. Topics covered include emotional feature extraction, facial recognition, human-computer interface design, neuro...

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Bibliographic Details
Main Author: Konar, Amit
Other Authors: Chakraborty, Aruna, 1977-
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., 2014.
Subjects:
Online Access:Click for online access

MARC

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100 1 |a Konar, Amit. 
245 1 0 |a Emotion recognition :  |b a pattern analysis approach /  |c Amit Konar, Aruna Chakraborty. 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons, Inc.,  |c 2014. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b n  |2 rdamedia 
338 |a online resource  |b nc  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
500 |a "Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style. Topics covered include emotional feature extraction, facial recognition, human-computer interface design, neuro-fuzzy techniques, support vector machine (SVM), reinforcement learning, principal component analysis, the hidden Markov model, and probabilistic models. The result is a innovative edited volume on this timely topic for computer science and electrical engineering students and professionals"--Provided by publisher. 
588 0 |a Print version record and CIP data provided by publisher. 
520 |a "Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style. Topics covered include emotional feature extraction, facial recognition, human-computer interface design, neuro-fuzzy techniques, support vector machine (SVM), reinforcement learning, principal component analysis, the hidden Markov model, and probabilistic models. The result is a innovative edited volume on this timely topic for computer science and electrical engineering students and professionals"- 
505 0 |a Title Page -- Copyright -- Dedication -- Preface -- Acknowledgments -- Contributors -- Chapter 1: Introduction to Emotion Recognition -- 1.1 Basics of Pattern Recognition -- 1.2 Emotion Detection as a Pattern Recognition Problem -- 1.3 Feature Extraction -- 1.4 Feature Reduction Techniques -- 1.5 Emotion Classification -- 1.6 Multimodal Emotion Recognition -- 1.7 Stimulus Generation for Emotion Arousal -- 1.8 Validation Techniques -- 1.9 Summary -- References -- Author Biographies 
505 8 |a Chapter 2: Exploiting Dynamic Dependencies Among Action Units for Spontaneous Facial Action Recognition2.1 Introduction -- 2.2 Related Work -- 2.3 Modeling the Semantic and Dynamic Relationships Among Aus With a DBN -- 2.4 Experimental Results -- 2.5 Conclusion -- References -- Author Biographies -- Note -- Chapter 3: Facial Expressions: A Cross-Cultural Study -- 3.1 Introduction -- 3.2 Extraction of Facial Regions and Ekmanâ€"! Action Units -- 3.3 Cultural Variation in Occurrence of Different Aus 
505 8 |a 3.4 Classification Performance Considering Cultural Variability3.5 Conclusion -- References -- Author Biographies -- Notes -- Chapter 4: A Subject-dependent Facial Expression Recognition System -- 4.1 Introduction -- 4.2 Proposed Method -- 4.3 Experiment Result -- 4.4 Conclusion -- Acknowledgment -- References -- Author Biographies -- Chapter 5: Facial Expression Recognition Using Independent Component Features and Hidden Markov Model -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Experimental Results -- 5.4 Conclusion -- Acknowledgments 
505 8 |a 7.4 Fuzzy Type-2 Membership Evaluation7.5 Experimental Details -- 7.6 Performance Analysis -- 7.7 Conclusion -- References -- Author Biographies -- Chapter 8: Emotion Recognition from Non-frontal Facial Images -- 8.1 Introduction -- 8.2 A Brief Review of Automatic Emotional Expression Recognition -- 8.3 Databases for Non-Frontal Facial Emotion Recognition -- 8.4 Recent Advances of Emotion Recognition from Non-Frontal Facial Images -- 8.5 Discussions and Conclusions -- Acknowledgments -- References -- Author Biographies 
650 0 |a Human-computer interaction. 
650 0 |a Artificial intelligence. 
650 0 |a Emotions  |x Computer simulation. 
650 0 |a Pattern recognition systems. 
650 0 |a Context-aware computing. 
650 7 |a artificial intelligence.  |2 aat 
650 7 |a TECHNOLOGY & ENGINEERING  |x Electronics  |x Digital.  |2 bisacsh 
650 7 |a COMPUTERS  |x Computer Vision & Pattern Recognition.  |2 bisacsh 
650 7 |a Artificial intelligence  |2 fast 
650 7 |a Context-aware computing  |2 fast 
650 7 |a Emotions  |x Computer simulation  |2 fast 
650 7 |a Human-computer interaction  |2 fast 
650 7 |a Pattern recognition systems  |2 fast 
700 1 |a Chakraborty, Aruna,  |d 1977- 
758 |i has work:  |a Emotion recognition (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGCdMpfpqdXRWx766QqQhd  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Konar, Amit.  |t Emotion recognition.  |d Hoboken, New Jersey : John Wiley & Sons, Inc., 2014  |z 9781118130667  |w (DLC) 2014024314 
856 4 0 |u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1889216  |y Click for online access 
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