Includes bibliographical references and index. "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.
Contents:
Introduction to emotion recognition -- Exploiting dynamic dependencies among action units for spontaneous facial action recognition -- Facial expressions : a cross-cultural study -- A subject-dependent facial expression recognition system -- Facial expression recognition using independent component features and hidden Markov model -- Feature selection for facial expression based on rough set theory -- Emotion recognition from facial expressions using type-2 fuzzy sets -- Emotion recognition from non-frontal facial images -- Maximum a posteriori based fusion method for speech emotion recognition -- Emotion recognition in naturalistic speech and language : a survey -- EEG-based emotion recognition using advanced signal processing techniques -- Frequency band localization on multiple physiological signals for human emotion classification using DWT -- Toward affective brain-computer interface : fundamentals and analysis of EEG-based emotion classification -- Bodily expression for automatic affect recognition -- Building a robust system for multimodal emotion recognition -- Semantic audiovisual data fusion for automatic emotion recognition -- A multilevel fusion approach for audiovisual emotion recognition -- From a discrete perspective of emotions to continuous, dynamic, and multimodal affect sensing -- Audiovisual emotion recognition using semi-coupled hidden Markov model with state-based alignment strategy -- Emotion recognition in car industry.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.