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Emotion Recognition

Emotion Recognition
Author: Amit Konar
Publisher: John Wiley & Sons
Total Pages: 580
Release: 2015-01-27
Genre: Technology & Engineering
ISBN: 1118130669

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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

Introduction to EEG- and Speech-Based Emotion Recognition
Author: Priyanka A. Abhang
Publisher: Academic Press
Total Pages: 200
Release: 2016-03-23
Genre: Medical
ISBN: 0128045310

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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


Emotion Recognition using Speech Features

Emotion Recognition using Speech Features
Author: K. Sreenivasa Rao
Publisher: Springer Science & Business Media
Total Pages: 134
Release: 2012-11-07
Genre: Technology & Engineering
ISBN: 1461451434

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“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.


Human Emotion Recognition from Face Images

Human Emotion Recognition from Face Images
Author: Paramartha Dutta
Publisher: Springer Nature
Total Pages: 276
Release: 2020-03-26
Genre: Computers
ISBN: 9811538832

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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.


Advances in Signal Processing and Intelligent Recognition Systems

Advances in Signal Processing and Intelligent Recognition Systems
Author: Sabu M. Thampi
Publisher: Springer Science & Business Media
Total Pages: 607
Release: 2014-02-14
Genre: Technology & Engineering
ISBN: 3319049607

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This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.


Handbook of Pattern Recognition and Computer Vision

Handbook of Pattern Recognition and Computer Vision
Author: C. H. Chen
Publisher: World Scientific
Total Pages: 1045
Release: 1999
Genre: Computers
ISBN: 9812384731

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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.


Music Emotion Recognition

Music Emotion Recognition
Author: Yi-Hsuan Yang
Publisher: CRC Press
Total Pages: 251
Release: 2011-02-22
Genre: Computers
ISBN: 143985047X

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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


Knowing Emotions

Knowing Emotions
Author: Rick Anthony Furtak
Publisher: Oxford University Press
Total Pages: 249
Release: 2018
Genre: Philosophy
ISBN: 019049204X

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How do our emotions enable us to know? When Pascal noted that the heart has its own reasons, he implied that our rational faculty alone cannot grasp what is revealed in affective experience. Knowing Emotions seeks to explain comprehensively why human emotions are more than physiological disturbances, but experiences capable of making us aware of significant truths that we could not know by any other means. Recent philosophical and interdisciplinary research on the emotions has been dominated by a renewal of the debate over how best to characterize the intentionality of emotions as well as their bodily character. Rick Anthony Furtak frames this debate differently, however, arguing that intentionality and feeling are not two discrete parts of affective experience, but conceptually distinguishable aspects of a unified response. His account captures how an emotion's phenomenal or 'felt' quality (what it is like) relates to its intentional content (what it is about). Knowing Emotions provides a solid introduction to the philosophy of emotion before delving into the debates that surround it. Furtak draws from a wide range of analytic and Continental philosophers, including Sartre, Merleau-Ponty, Kierkegaard, and Nietzsche, among others, and bolsters his analysis with empirical evidence from social psychology, neuroscience, and psychiatry. Perhaps most importantly, Furtak investigates all varieties of affective experience, from brief episodes to moods and emotional dispositions, loves and other longstanding concerns, and overall patterns of temperament and affective outlook. Ultimately, he argues that we must reject the misguided aspiration to purify ourselves of passion and attain an impersonal standpoint. Knowing Emotions attempts to clarify what kind of truth may be revealed through emotion, and what can be known - not despite, but precisely by virtue of, each person's idiosyncratic perspective.


Affect and Emotion in Human-Computer Interaction

Affect and Emotion in Human-Computer Interaction
Author: Christian Peter
Publisher: Springer
Total Pages: 250
Release: 2008-08-25
Genre: Computers
ISBN: 3540850996

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Affect and emotion play an important role in our everyday lives: They are present whatever we do, wherever we are, and wherever we go, without us being aware of them for much of the time. When it comes to interaction, be it with humans, technology, or humans via technology, we suddenly become more aware of emotion, either by seeing the other’s emotional expression, or by not getting an emotional response while anticipating one. Given this, it seems only sensible to explore affect and emotion in human-computer interaction, to investigate the underlying principles, to study the role they play, to develop methods to quantify them, and to finally build applications that make use of them. This is the research field for which, over ten years ago, Rosalind Picard coined the phrase "affective computing". The present book provides an account of the latest work on a variety of aspects related to affect and emotion in human-technology interaction. It covers theoretical issues, user experience and design aspects as well as sensing issues, and reports on a number of affective applications that have been developed in recent years.


Affective Dialogue Systems

Affective Dialogue Systems
Author: Elisabeth Andre
Publisher: Springer Science & Business Media
Total Pages: 336
Release: 2004-06-08
Genre: Computers
ISBN: 3540221433

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Human conversational partners are able, at least to a certain extent, to detect the speaker’s or listener’s emotional state and may attempt to respond to it accordingly. When instead one of the interlocutors is a computer a number of questions arise, such as the following: To what extent are dialogue systems able to simulate such behaviors? Can we learn the mechanisms of emotional be- viors from observing and analyzing the behavior of human speakers? How can emotionsbeautomaticallyrecognizedfromauser’smimics,gesturesandspeech? What possibilities does a dialogue system have to express emotions itself? And, very importantly, would emotional system behavior be desirable at all? Given the state of ongoing research into incorporating emotions in dialogue systems we found it timely to organize a Tutorial and Research Workshop on A?ectiveDialogueSystems(ADS2004)atKlosterIrseein GermanyduringJune 14–16, 2004. After two successful ISCA Tutorial and Research Workshops on Multimodal Dialogue Systems at the same location in 1999 and 2002, we felt that a workshop focusing on the role of a?ect in dialogue would be a valuable continuation of the workshop series. Due to its interdisciplinary nature, the workshop attracted submissions from researchers with very di?erent backgrounds and from many di?erent research areas, working on, for example, dialogue processing, speech recognition, speech synthesis, embodied conversational agents, computer graphics, animation, user modelling, tutoring systems, cognitive systems, and human-computer inter- tion.