Download or read book Human Emotion Recognition from Face Images written by Paramartha Dutta and published by Springer Nature. This book was released on 2020-03-26 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Advances in Signal Processing and Intelligent Recognition Systems written by Sabu M. Thampi and published by Springer Science & Business Media. This book was released on 2014-02-14 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Emotion Recognition written by Amit Konar and published by John Wiley & Sons. This book was released on 2014-12-29 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Affect and Emotion in Human Computer Interaction written by Christian Peter and published by Springer. This book was released on 2008-08-25 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book 2020 8th International Workshop on Biometrics and Forensics IWBF written by IEEE Staff and published by . This book was released on 2020-04-29 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: IWBF is an international forum devoted to facilitating synergies in research and development among the areas of biometric recognition, multimedia forensics, forensic biometrics, and forensic science
Download or read book Face Recognition written by Katherine B. Leeland and published by Nova Publishers. This book was released on 2008 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face perception is the process by which the brain and mind understand and interpret the face, particularly the human face. The face is an important site for the identification of others and conveys significant social information. Probably because of the importance of its role in social interaction, psychological processes involved in face perception are known to be present from birth, to be complex, and to involve large and widely distributed areas in the brain. These parts of the brain can be damaged to cause a specific impairment in understanding faces known as prosopagnosia. This book presents the latest research in the field.
Download or read book Handbook of Pattern Recognition and Computer Vision written by C. H. Chen and published by World Scientific. This book was released on 1999 with total page 1045 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Smart and Sustainable Intelligent Systems written by Namita Gupta and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is experiencing an unprecedented period of change and growth through all the electronic and technilogical developments and everyone on the planet has been impacted. What was once ‘science fiction’, today it is a reality. This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.
Download or read book Facial Analytics for Emotional State Recognition written by Konstantinos Papazachariou and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than 75 years, social scientists study the human emotions. Whereas numerous theories developed about the provenance and number of basic emotions, most agreed that they could categorize into six categories: angrer, disgust, fear, joy, sadness and surprise. To evaluate emotions, psychologists focused their research in facial expressions analysis. In recent years, the progress in digital technologies field has steered the researchers in psychology, computer science, linguistics, neuroscience, and related disciplines towards the usage of computer systems that analyze and detect the human emotions. Usually, these algorithms are referred in the literature as facial emotion recognition (FER) systems. In this thesis, two different approaches are described and evaluated in order to recognize the six basic emotions automatically from still images.An effective face detection scheme, based on color techniques and the well-known Viola and Jones (VJ) algorithm is proposed for the face and facial characteristics localization within an image. A novel algorithm which exploits the eyes' centers coordinates, is applied on the image to align the detected face. In order to reduce the effects of illumination, homomorphic filtering is applied on the face area. Three regions (mouth, eyes and glabella) are localized and further processed for texture analysis.Although many methods have been proposed in the literature to recognize the emotion from the human face, they are not designed to be able to handle partial occlusions and multiple faces. Therefore, a novel algorithm that extracts information through texture analysis, from each region of interest, is evaluated. Two popular techniques (histograms of oriented gradients and local binary patterns) are utilized to perform texture analysis in the abovementioned facial patches. By evaluating several combinations of their principal parameters and two classification techniques (support vector machine and linear discriminant analysis), three classifiers are proposed. These three models are enabled depending on the regions' availability. Although both classification approaches have shown impressive results, LDA proved to be slightly better especially regarding the amount of data management. Therefore, the final models, which utilized for comparison purpose, were trained using LDA classification.Experiments using Cohn-Kanade plus (CK+) and Amsterdam Dynamic Facial Expression Set (ADFES) datasets demonstrate that the presented FER algorithm has surpassed other significant FER systems in terms of processing time and accuracy. The evaluation of the system involved three experiments: intra-testing experiment (train and test with the same dataset), train/test process between CK+ and ADFES and finally the development of a new database based on selfie-photos, which is tested on the pre-trained models. The last two experiments constitute a certain evidence that Emotion Recognition System (ERS) can operate under various pose and light circumstances.
Download or read book Emotion Recognition written by Amit Konar and published by John Wiley & Sons. This book was released on 2015-01-27 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Unmasking the Face written by Paul Ekman and published by ISHK. This book was released on 2003 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filled with breakthrough research, the book explains how to identify the facial expression of basic emotions and how to tell when people try to mask, simulate or neutralize their expression. Features practical exercises to help build skills.
Download or read book Cyberspace Safety and Security written by Jaideep Vaidya and published by Springer. This book was released on 2020-01-04 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 11982 and 11983 constitute the proceedings of the 11th International Symposium on Cyberspace Safety and Security, CSS 2019, held in Guangzhou, China, in December 2019. The 61 full papers and 40 short papers presented were carefully reviewed and selected from 235 submissions. The papers cover a broad range of topics in the field of cyberspace safety and security, such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability issues of cyberspace. They are organized in the following topical sections: network security; system security; information security; privacy preservation; machine learning and security; cyberspace safety; big data and security; and cloud and security;
Download or read book Biologically Inspired Facial Emotion Recognition written by Alberto C. Cruz and published by . This book was released on 2014 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: When facial emotion recognition is performed in unconstrained settings, humans outperform state-of-the-art algorithms. The major technical problems of a state-of-the-art system are that: (1) they attempt to use all of the frames in the training data to build a training model, even frames that are redundant or are not necessary to describe a person's emotions. (2) If the system is using a Gabor filter as a facial feature descriptor, it captures noise due to background texture as important edge information when this information is erroneous, and the amount of computer memory required to describe the faces using the Gabor filter is undesireable high. (3) Most of the current algorithms do not generalize to unconstrained data because each person expresses his/her emotions in different ways, and the persons in the testing data are not the same persons encountered in the training data. In these situations, current approaches perform inadequately because models developed from training data cannot properly predict the emotions of unseen testing samples. We address each of these three problems by presenting systems that are based on the human visual system. The first system, called vision and attention theory, downsamples the training and testing data temporally to reduce the memory cost. The second system, called background-suppressing Gabor filtering, represented the face in the same way the human visual system's non-classical receptive field represents a face to overcome background texture. The third system, called score-based facial emotion recognition, scores a frontal face image's relationship to references of a face and temporal. We thoroughly test all systems on four different, publicly available datasets: the Japanese Female Facial Expression Database, Cohn-Kanade+, Man-Machine Interface and the Audio/Visual Emotion Challenge. We find that our systems, which emulated the human visual system, perform better than state-of-the-art systems. This work shows promise for the detection of facial emotion in unconstrained settings.
Download or read book Optimization Based Framework for the Classification of Human Emotion in Facial Images written by MR C Agilan and published by Mohammed Abdul Malik. This book was released on 2024-02-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: People's daily lives are heavily reliant on communication. When humans communicate with one another, they display a variety of emotions. Recognizing emotions is a fascinating and difficult undertaking. Text, speech, facial expressions, gestures, and biological signals can all be used. Affective computing and technology have grown increasingly crucial in understanding human behavior during the last decade. Patient monitoring, driver fatigue detection, robotics, animation, forensics, medical aid, psychology, surveillance, automotive industry, Human-Robot Interaction for children with autism, situation analysis of social interaction, affective computing, feedback during E-Learning, psychology, contests, and entertainment industries have all benefited from emotion recognition research. Many academics have been driven in recent days to construct an innovative and robust generic and application-specific affective computing system in conjunction with Emotion Intelligence. Emotion is a strong, subjective, and changing feeling state that communicates the importance of good or negative stimuli. The physical cause of emotion origin in the human brain must be investigated. Robots are stimulated in the same way since they are supposed to work in an environment and be able to engage with humans on an emotional level. Important variables include social learning, gesture and natural language communication, emotion perception, and synthesis of interacting partners.
Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2011-08-22 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.
Download or read book Advances in Face Detection and Facial Image Analysis written by Michal Kawulok and published by Springer. This book was released on 2016-04-02 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.
Download or read book 2019 5th Conference on Knowledge Based Engineering and Innovation KBEI written by IEEE Staff and published by . This book was released on 2019-02-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science and Electrical Engineering
