Emotion recognition : a pattern analysis approach /

"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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Konar, Amit
Άλλοι συγγραφείς: Chakraborty, Aruna, 1977-
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, New Jersey : John Wiley & Sons, Inc., 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Konar, Amit. 
245 1 0 |a Emotion recognition :  |b a pattern analysis approach /  |c Amit Konar, Aruna Chakraborty. 
263 |a 1502 
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 |a Description based on 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 Recognition -- 2.1 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 Ekman’s Action Units -- 3.3 Cultural Variation in Occurrence of Different Aus"" 
505 8 |a ""3.4 Classification Performance Considering Cultural Variability -- 3.5 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 Evaluation -- 7.5 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 TECHNOLOGY & ENGINEERING / Electronics / Digital.  |2 bisacsh 
650 7 |a COMPUTERS / Computer Vision & Pattern Recognition.  |2 bisacsh 
650 7 |a Artificial intelligence.  |2 fast  |0 (OCoLC)fst00817247 
650 7 |a Context-aware computing.  |2 fast  |0 (OCoLC)fst01746610 
650 7 |a Emotions  |x Computer simulation.  |2 fast  |0 (OCoLC)fst00908821 
650 7 |a Human-computer interaction.  |2 fast  |0 (OCoLC)fst00963494 
650 7 |a Pattern recognition systems.  |2 fast  |0 (OCoLC)fst01055266 
655 4 |a Electronic books. 
700 1 |a Chakraborty, Aruna,  |d 1977- 
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://doi.org/10.1002/9781118910566  |z Full Text via HEAL-Link 
994 |a 92  |b DG1