Multimodal Affective Computing

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Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis

Author : Gyanendra K. Verma
Publisher : Bentham Science Publishers
ISBN 13 : 9815124463
Total Pages : 167 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis by : Gyanendra K. Verma

Download or read book Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis written by Gyanendra K. Verma and published by Bentham Science Publishers. This book was released on 2023-03-21 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Assistive Technologies for Physically and Cognitively Challenged Users focuses on the technologies and devices that assist individuals with physical and cognitive disabilities. These technologies facilitate independent activity and participation, serving to improve daily functional capabilities. The book features nine chapters that cover a wide range of computer assistive technologies that give readers an indepth understanding of the available resources to help the elderly or individuals with disabilities. The topics covered in the book include 1) The category and ontology of assistive devices, 2) Web accessibility and ICT accessibility for persons with disability (PWD), 3) Assistive technologies for blind and visually impaired people, 4) Assistive technologies for home comfort and care, 5) Assistive technologies for hearing impaired people using Indian sign language synthetic animations, 6) Augmentative and alternative communication/hearing impairments, 7) Accessibility innovations to help physically disabled users, 8) Adhesive tactile walking surface indicators for elderly and visually impaired people mobility, 9) future of assistive technologies This book serves as a textbook resource for students undertaking modular courses that require learning material on computer assistive technology. It also serves as a reference for graduate level courses in disability studies, humancomputer interaction, gerontology and rehabilitation engineering. Researchers working in the allied fields intersecting computer science, medicine and psychology will also benefit from the information provided in the book.

Multimodal Affective Computing

Author : Ramón Zatarain Cabada
Publisher : Springer Nature
ISBN 13 : 3031325427
Total Pages : 211 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Multimodal Affective Computing by : Ramón Zatarain Cabada

Download or read book Multimodal Affective Computing written by Ramón Zatarain Cabada and published by Springer Nature. This book was released on 2023-06-26 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores AI methodologies for the implementation of affective states in intelligent learning environments. Divided into four parts, Multimodal Affective Computing: Technologies and Applications in Learning Environments begins with an overview of Affective Computing and Intelligent Learning Environments, from their fundamentals and essential theoretical support up to their fusion and some successful practical applications. The basic concepts of Affective Computing, Machine Learning, and Pattern Recognition in Affective Computing, and Affective Learning Environments are presented in a comprehensive and easy-to-read manner. In the second part, a review on the emerging field of Sentiment Analysis for Learning Environments is introduced, including a systematic descriptive tour through topics such as building resources for sentiment detection, methods for data representation, designing and testing the classification models, and model integration into a learning system. The methodologies corresponding to Multimodal Recognition of Learning-Oriented Emotions are presented in the third part of the book, where topics such as building resources for emotion detection, methods for data representation, multimodal recognition systems, and multimodal emotion recognition in learning environments are presented. The fourth and last part of the book is devoted to a wide application field of the combination of methodologies, such as Automatic Personality Recognition, dealing with issues such as building resources for personality recognition, methods for data representation, personality recognition models, and multimodal personality recognition for affective computing. This book can be very useful not only for beginners who are interested in affective computing and intelligent learning environments, but also for advanced and experts in the practice and developments of the field. It complies an end-to-end treatment on these subjects, especially with educational applications, making it easy for researchers and students to get on track with fundamentals, established methodologies, conventional evaluation protocols, and the latest progress on these subjects.

Intelligent Multidimensional Data and Image Processing

Author : De, Sourav
Publisher : IGI Global
ISBN 13 : 1522552472
Total Pages : 429 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Intelligent Multidimensional Data and Image Processing by : De, Sourav

Download or read book Intelligent Multidimensional Data and Image Processing written by De, Sourav and published by IGI Global. This book was released on 2018-06-08 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the most natural and convenient means of conveying or transmitting information, images play a vital role in our daily lives. Image processing is now of paramount importance in the computer vision research community, and proper processing of two-dimensional (2D) real-life images plays a key role in many real-life applications as well as commercial developments. Intelligent Multidimensional Data and Image Processing is a vital research publication that contains an in-depth exploration of image processing techniques used in various applications, including how to handle noise removal, object segmentation, object extraction, and the determination of the nearest object classification and its associated confidence level. Featuring coverage on a broad range of topics such as object detection, machine vision, and image conversion, this book provides critical research for scientists, computer engineers, professionals, researchers, and academicians seeking current research on solutions for new challenges in 2D and 3D image processing.

Intelligent Systems and Applications

Author : Kohei Arai
Publisher : Springer Nature
ISBN 13 : 3030551903
Total Pages : 773 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Intelligent Systems and Applications by : Kohei Arai

Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on 2020-08-06 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Author : Chi Hau Chen
Publisher : World Scientific
ISBN 13 : 9814497649
Total Pages : 1045 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Handbook Of Pattern Recognition And Computer Vision (2nd Edition) by : Chi Hau Chen

Download or read book Handbook Of Pattern Recognition And Computer Vision (2nd Edition) written by Chi Hau Chen and published by World Scientific. This book was released on 1999-03-12 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. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.

The Oxford Handbook of Affective Computing

Author : Rafael A. Calvo
Publisher : Oxford Library of Psychology
ISBN 13 : 0199942234
Total Pages : 625 pages
Book Rating : 4.1/5 (999 download)

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Book Synopsis The Oxford Handbook of Affective Computing by : Rafael A. Calvo

Download or read book The Oxford Handbook of Affective Computing written by Rafael A. Calvo and published by Oxford Library of Psychology. This book was released on 2015 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."--

Multi-Modal Sentiment Analysis

Author : Hua Xu
Publisher : Springer Nature
ISBN 13 : 9819957761
Total Pages : 278 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Multi-Modal Sentiment Analysis by : Hua Xu

Download or read book Multi-Modal Sentiment Analysis written by Hua Xu and published by Springer Nature. This book was released on 2023-11-26 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.

Machine Learning Systems for Multimodal Affect Recognition

Author : Markus Kächele
Publisher : Springer Nature
ISBN 13 : 3658286741
Total Pages : 188 pages
Book Rating : 4.6/5 (582 download)

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Book Synopsis Machine Learning Systems for Multimodal Affect Recognition by : Markus Kächele

Download or read book Machine Learning Systems for Multimodal Affect Recognition written by Markus Kächele and published by Springer Nature. This book was released on 2019-11-19 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons.

Affective Computing and Intelligent Interaction

Author : Jianhua Tao
Publisher : Springer Science & Business Media
ISBN 13 : 3540296212
Total Pages : 1025 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Affective Computing and Intelligent Interaction by : Jianhua Tao

Download or read book Affective Computing and Intelligent Interaction written by Jianhua Tao and published by Springer Science & Business Media. This book was released on 2005-10-27 with total page 1025 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Affective Computing and Intelligent Interaction, ACII 2005, held in Beijing, China in October 2005 as an associated event of ICCV 2005, the International Conference on Computer Vision. The 45 revised full papers and 81 revised poster papers presented were carefully reviewed and selected from 198 submissions. They cover a wide range of topics, such as facial expression recognition, face animation, emotional speech synthesis, intelligent agent, and virtual reality. The papers are organized in topical sections on affective face and gesture processing, affective speech processing, evaluation of affective expressivity, affective database, annotation and tools, psychology and cognition of affect, and affective interaction and systems and applications.

Affective Computing and Intelligent Interaction

Author : Ana Paiva
Publisher : Springer
ISBN 13 : 354074889X
Total Pages : 796 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Affective Computing and Intelligent Interaction by : Ana Paiva

Download or read book Affective Computing and Intelligent Interaction written by Ana Paiva and published by Springer. This book was released on 2007-09-04 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Affective Computing and Intelligent Interaction, ACII 2007. It covers affective facial expression and recognition, affective body expression and recognition, affective speech processing, affective text and dialogue processing, recognizing affect using physiological measures, computational models of emotion and theoretical foundations, and affective sound and music processing.

Affective Information Processing

Author : Jianhua Tao
Publisher : Springer Science & Business Media
ISBN 13 : 1848003064
Total Pages : 347 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Affective Information Processing by : Jianhua Tao

Download or read book Affective Information Processing written by Jianhua Tao and published by Springer Science & Business Media. This book was released on 2008-12-02 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Affective information processing assigns computers the human-like capabilities of observation, interpretation and generation of affect features. It is an important topic for harmonious human-computer interaction, by increasing the quality of human-computer communication and improving the intelligence of the computer. Discussing state of art of the research in affective information processing, this book summarises key technologies researched, such as facial expression recognition, face animation, emotional speech synthesis, intelligent agent, and virtual reality. The detailed discussion covers a wide range of topics including hot topics which look to challenge and improve current research work. Written to provide an opportunity for scientists, engineers and graduate students to learn problems, solutions and technologies in the topic area, this book will provide insight and prove a valuable reference tool.

A Blueprint for Affective Computing

Author : Klaus R. Scherer
Publisher : Oxford University Press
ISBN 13 : 0199566704
Total Pages : 408 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis A Blueprint for Affective Computing by : Klaus R. Scherer

Download or read book A Blueprint for Affective Computing written by Klaus R. Scherer and published by Oxford University Press. This book was released on 2010-09-23 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Affective computing' is a branch of computing concerned with the theory and construction of machines which can detect, respond to, and simulate human emotional states. This book presents an interdisciplinary exploration of this rapidly expanding field, aimed at those in psychology, computational neuroscience, computer science, and AI.

The Handbook of Multimodal-Multisensor Interfaces, Volume 2

Author : Sharon Oviatt
Publisher : Morgan & Claypool
ISBN 13 : 1970001690
Total Pages : 555 pages
Book Rating : 4.9/5 (7 download)

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Book Synopsis The Handbook of Multimodal-Multisensor Interfaces, Volume 2 by : Sharon Oviatt

Download or read book The Handbook of Multimodal-Multisensor Interfaces, Volume 2 written by Sharon Oviatt and published by Morgan & Claypool. This book was released on 2018-10-08 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces: user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces that often include biosignals. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. It includes recent deep learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. These chapters discuss real-time multimodal analysis of emotion and social signals from various modalities, and perception of affective expression by users. Further chapters discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this rapidly expanding field. In the final section of this volume, experts exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade.

Multimodal Sentiment Analysis

Author : Soujanya Poria
Publisher : Springer
ISBN 13 : 3319950207
Total Pages : 214 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Multimodal Sentiment Analysis by : Soujanya Poria

Download or read book Multimodal Sentiment Analysis written by Soujanya Poria and published by Springer. This book was released on 2018-10-24 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches. Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.

Multimodal Sentiment Analysis

Author : Soujanya Poria
Publisher :
ISBN 13 : 9783319950198
Total Pages : 214 pages
Book Rating : 4.9/5 (51 download)

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Book Synopsis Multimodal Sentiment Analysis by : Soujanya Poria

Download or read book Multimodal Sentiment Analysis written by Soujanya Poria and published by . This book was released on 2018 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches.

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Author : Kyandoghere Kyamakya
Publisher : MDPI
ISBN 13 : 3036511385
Total Pages : 550 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Emotion and Stress Recognition Related Sensors and Machine Learning Technologies by : Kyandoghere Kyamakya

Download or read book Emotion and Stress Recognition Related Sensors and Machine Learning Technologies written by Kyandoghere Kyamakya and published by MDPI. This book was released on 2021-09-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.

Affective Computing

Author : Rosalind W. Picard
Publisher : MIT Press
ISBN 13 : 9780262661157
Total Pages : 308 pages
Book Rating : 4.6/5 (611 download)

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Book Synopsis Affective Computing by : Rosalind W. Picard

Download or read book Affective Computing written by Rosalind W. Picard and published by MIT Press. This book was released on 2000-07-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can impair decision making. According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. Part 1 of this book provides the intellectual framework for affective computing. It includes background on human emotions, requirements for emotionally intelligent computers, applications of affective computing, and moral and social questions raised by the technology. Part 2 discusses the design and construction of affective computers. Although this material is more technical than that in Part 1, the author has kept it less technical than typical scientific publications in order to make it accessible to newcomers. Topics in Part 2 include signal-based representations of emotions, human affect recognition as a pattern recognition and learning problem, recent and ongoing efforts to build models of emotion for synthesizing emotions in computers, and the new application area of affective wearable computers.