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 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 Automated Facial Emotion Recognition written by Xiao Liu and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents two image processing algorithms for facial emotion recognition (FER). The first method uses two pre-processing filters (pre-filters), i.e., brightness and contrast filter and edge extraction filter, combined with Convolutional Neural Network (CNN) and Support Vector Machine (SVM). By using optimal pre-filter parameters in the pre-processing of the training images, the classification of FER could reach 98.19\% accuracy using CNN with 3,500 epochs for 3,589 face images from the FER2013 datasets. The second approach introduces two geometrical facial features based on action units -- landmark curvatures and vectorized landmarks. This method first detects facial landmarks and extracts action unit (AU) features. The extracted facial segments based on the action units are classified into five groups and input to a SVM. The presented method show how individual parameters, including detected landmarks, AU group selection, and parameters used in the SVM, can be examined and systematically selected for the optimal performance in FER. The results after parameter optimization showed 98.38\% test accuracy with training using 1,479 labeled frames of Cohn-Kanade (CK+) database, and 98.11\% test accuracy with training using 1,710 labeled frames of Multimedia Understanding Group (MUG) database for 6-emotion classification. This technique also shows the real-time processing speed of 6.67 frames per second (fps) for images with a 640x480 resolution. The novelty of the first approach is combining image processing filters with CNN to enhance CNN performance. As for the second approach, it systematically analyzed the effectiveness of proposed geometric features and implemented FER in real-time. The demonstrated algorithms have been applied on human-robot interaction (HRI) application platform - social robot ``Woody" for testing. The presented algorithms have been made publicly available.

Download or read book Facial Image Processing and Human Emotion Classification Using Neural Network written by Shoumananda Rangkuti and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Recognition of Facial Expression written by and published by . This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Facial Image Based Expression Classification System Using Committee Neural Networks written by Gayatri Suhas Paknikar and published by . This book was released on 2008 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human communication has two main aspects: verbal (auditory) and non-verbal (visual). Facial expressions, body movements and physiological reactions are the basic units of the non-verbal communication. Facial expressions and related changes in facial patterns give us information about the emotional state of the person. Psychopathology, stress detection, human-computer interface, and terror deterrence etc., are some of the applications of facial expression detection. The goal of this study was to classify different facial expressions of individuals from static facial images from a large database with an improved accuracy over previously presented systems. Two classification approaches were used. First, a parameter based classification system was developed which classified the expressions based on the actual parameter values directly. Evaluation of the parameter based system revealed that it could accurately classify only one expression. In the second approach, the committee neural network system was used to classify seven basic emotion types from facial images. Two types of committees, viz. primary committee and secondary committee were trained and evaluated. Committee performance was better than performance of individual networks. The integrated committee system, which incorporated both primary and secondary committees, accurately classified the expressions in 94.73% of the cases.

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 Proceedings of International Conference on Paradigms of Communication Computing and Data Analytics written by Anupam Yadav and published by Springer Nature. This book was released on 2023-11-11 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22–23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

Download or read book Navigating the Technological Tide The Evolution and Challenges of Business Model Innovation written by Bahaaeddin Alareeni and published by Springer Nature. This book was released on with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the 4th International Conference on Advances in Computational Science and Engineering written by Vinesh Thiruchelvam and published by Springer Nature. This book was released on with total page 847 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Genetic Programming for Image Classification written by Ying Bi and published by Springer Nature. This book was released on 2021-02-08 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate and postgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.

Download or read book Managing and Mining Graph Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2010-02-02 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.

Download or read book Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2019-10-02 with total page 1093 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 5th International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI2019), which took place in Cairo, Egypt, from October 26 to 28, 2019. This international and interdisciplinary conference, which highlighted essential research and developments in the fields of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several sections, covering the following topics: machine learning and applications, swarm optimization and applications, robotic and control systems, sentiment analysis, e-learning and social media education, machine and deep learning algorithms, recognition and image processing, intelligent systems and applications, mobile computing and networking, cyber-physical systems and security, smart grids and renewable energy, and micro-grid and power systems.

Download or read book Advances in Knowledge Discovery and Data Mining written by Dinh Phung and published by Springer. This book was released on 2018-06-16 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

Download or read book Handbook of Moth Flame Optimization Algorithm written by Seyedali Mirjalili and published by CRC Press. This book was released on 2022-09-20 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges. Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm Introduces several applications areas of the Moth-Flame Optimization algorithm This handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.

Download or read book Affective Dialogue Systems written by Elisabeth Andre and published by Springer Science & Business Media. This book was released on 2004-06-08 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.