Emotion Recognition
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Emotion Recognition
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Author : Amit Konar
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-27
Emotion Recognition written by Amit Konar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-27 with Technology & Engineering categories.
A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. Written by several experts, the book includes several tools and techniques, including dynamic Bayesian networks, neural nets, hidden Markov model, rough sets, type-2 fuzzy sets, support vector machines and their applications in emotion recognition by different modalities. The book ends with a discussion on emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and driving-ability. There is an increasing demand of emotion recognition in diverse fields, including psycho-therapy, bio-medicine and security in government, public and private agencies. The importance of emotion recognition has been given priority by industries including Hewlett Packard in the design and development of the next generation human-computer interface (HCI) systems. Emotion Recognition: A Pattern Analysis Approach would be of great interest to researchers, graduate students and practitioners, as the book Offers both foundations and advances on emotion recognition in a single volume Provides a thorough and insightful introduction to the subject by utilizing computational tools of diverse domains Inspires young researchers to prepare themselves for their own research Demonstrates direction of future research through new technologies, such as Microsoft Kinect, EEG systems etc.
Introduction To Eeg And Speech Based Emotion Recognition
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Author : Priyanka A. Abhang
language : en
Publisher: Academic Press
Release Date : 2016-03-23
Introduction To Eeg And Speech Based Emotion Recognition written by Priyanka A. Abhang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-23 with Medical categories.
Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings. - Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon - Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data - Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition
Handbook Of Pattern Recognition And Computer Vision 2nd Edition
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Author : Chi Hau Chen
language : en
Publisher: World Scientific
Release Date : 1999-03-12
Handbook Of Pattern Recognition And Computer Vision 2nd Edition written by Chi Hau Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-12 with Computers categories.
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
Music Emotion Recognition
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Author : Yi-Hsuan Yang
language : en
Publisher: CRC Press
Release Date : 2011-02-22
Music Emotion Recognition written by Yi-Hsuan Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Computers categories.
Providing a complete review of existing work in music emotion developed in psychology and engineering, Music Emotion Recognition explains how to account for the subjective nature of emotion perception in the development of automatic music emotion recognition (MER) systems. Among the first publications dedicated to automatic MER, it begins with
Human Emotion Recognition From Face Images
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Author : Asit Barman
language : en
Publisher: Independent Author
Release Date : 2023-05-31
Human Emotion Recognition From Face Images written by Asit Barman and has been published by Independent Author this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with categories.
When it comes to recognizing facial emotion, the distance feature is extremely important. In the field of affective computing, identifying accurate landmarks is critical as well as a difficult issue. The appearance model detects prominent landmarks on human faces. On the human face, these prominent landmarks form a grid. Distances are calculated within the grid by comparing one landmark point to another. Normalized distances are regarded as a distance signature. To form a normalized shape signature, the possible triangles are found within the grid. Texture characteristics among the landmark points reflected in human faces are important features in facial expression recognition. Appearance-based models detect effective landmarks, and corresponding texture regions are extracted from face images. The texture feature is computed using a Local Binary Pattern (LBP). Normalizing texture signatures is accomplished with the texture feature. A novel concept of corresponding stability indices is introduced, which are eventually discovered to play an important role in facial expression recognition. For these reasons, the stability indices are calculated from each normalized distance, shape, and texture signature feature. To supplement the feature set, individual distance, shape, and texture signature features are used to calculate statistical analyses such as range, moment, skewness, kurtosis, and entropy. The enhanced distance signature feature set is fed into a Multilayer Perceptron (MLP) to generate various expression categories such as anger, sadness, fear, disgust, surprise, and happiness. We train and test our proposed system on four benchmark datasets: Cohn-Kanade (CK+), JAFFE, MMI, and MUG. To categories the expressions, the shape signature feature set is fed into Multilayer Perceptron (MLP) and Nonlinear Auto Regressive with eXogenous (NARX). We tested our proposed system on four databases and found that it outperformed other state-of-the-art solutions. To conduct the experiments, the texture signature feature is used as an input to Nonlinear Auto Regressive with eXogenous (NARX) for recognition of human facial expressions on benchmark datasets, and the results support the effectiveness of the proposed procedure. Following the recognition of expressions using individual signature features, we investigate the combined distance and shape (D-S), distance and texture (D-T), and shape and texture (S-T) signature features. To conduct and validate our experiment and establish its performance superiority over other existing competitors, we feed the combined distance and shape (D-S) feature set into a Multilayer Perceptron (MLP) to categorize the expressions into different categories on four databases. The combined distance-texture (D-T) signature outperforms the distance and texture signatures separately. The effectiveness of the proposed technique based on combined D-T signature is demonstrated by its extremely encouraging performance when compared to other existing arts. To classify the expression on the CK+, JAFFE, MMI, MUG, and Wild face benchmark databases, the combined shape and texture (S-T) features are fed into Multilayer Perceptron (MLP) and Deep Belief Neural (DBN) networks. Extensive testing demonstrates that our proposed methodology outperforms other existing competitors in terms of performance. Finally, the distance signature, shape signature, and texture signature are combined to form a distance-shape-texture signature trio feature for recognizing facial expression. The experimental results also show a promising recognition rate of facial expressions of the distance-shape-texture signature trio when compared to other existing arts.
Emotion Recognition Using Speech Features
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Author : K. Sreenivasa Rao
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-07
Emotion Recognition Using Speech Features written by K. Sreenivasa Rao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-07 with Technology & Engineering categories.
“Emotion Recognition Using Speech Features” provides coverage of emotion-specific features present in speech. The author also discusses suitable models for capturing emotion-specific information for distinguishing different emotions. The content of this book is important for designing and developing natural and sophisticated speech systems. In this Brief, Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about exploiting multiple evidences derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Features includes discussion of: • Global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; • Exploiting complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance; • Proposed multi-stage and hybrid models for improving the emotion recognition performance. This brief is for researchers working in areas related to speech-based products such as mobile phone manufacturing companies, automobile companies, and entertainment products as well as researchers involved in basic and applied speech processing research.
Emotion Recognition And Understanding For Emotional Human Robot Interaction Systems
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Author : Luefeng Chen
language : en
Publisher: Springer Nature
Release Date : 2020-11-13
Emotion Recognition And Understanding For Emotional Human Robot Interaction Systems written by Luefeng Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Technology & Engineering categories.
This book focuses on the key technologies and scientific problems involved in emotional robot systems, such as multimodal emotion recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the design and application examples of emotional HRI systems. Aiming at the development needs of emotional robots and emotional human–robot interaction (HRI) systems, this book introduces basic concepts, system architecture, and system functions of affective computing and emotional robot systems. With the professionalism of this book, it serves as a useful reference for engineers in affective computing, and graduate students interested in emotion recognition and intention understanding. This book offers the latest approaches to this active research area. It provides readers with the state-of-the-art methods of multimodal emotion recognition, intention understanding, and application examples of emotional HRI systems.
Robust Emotion Recognition Using Spectral And Prosodic Features
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Author : K. Sreenivasa Rao
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-13
Robust Emotion Recognition Using Spectral And Prosodic Features written by K. Sreenivasa Rao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-13 with Technology & Engineering categories.
In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.
Emotion Recognition Using Brain Computer Interfaces And Advanced Artificial Intelligence
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Author : Yizhang Jiang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-17
Emotion Recognition Using Brain Computer Interfaces And Advanced Artificial Intelligence written by Yizhang Jiang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Science categories.
Human Emotion Recognition From Face Images
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Author : Paramartha Dutta
language : en
Publisher: Springer Nature
Release Date : 2020-03-26
Human Emotion Recognition From Face Images written by Paramartha Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-26 with Computers categories.
This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition. The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining the signatures rather than using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencies. This book offers a valuable resource for researchers working in these areas.