Visual Affect Recognition

Author : Ioanna-Ourania Stathopoulou
Publisher : IOS Press
Page : 268 pages
File Size : 40,5 Mb
Release : 2010
Category : Computers
ISBN : 9781607505969

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Visual Affect Recognition by Ioanna-Ourania Stathopoulou Pdf

It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a decription of empirical studies conducted with human participants and the construction of a face image database . On the basis of this work, a visual affect recognition system was developed, consisting of two modules: a face detection subsystem and a facia expression recognition subsystem. Details of this system are demonstrated and analyzed, and extensive performance evaluations and test results are provided. Finally, current research avenues leading to visual affect recognition via analysis of body motin and gestures are also discussed."

Author : Chi Hau Chen,Louis-francois Pau,Patrick S P Wang
Publisher : World Scientific
Page : 1045 pages
File Size : 52,5 Mb
Release : 1999-03-12
Category : Computers
ISBN : 9789814497640

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Handbook Of Pattern Recognition And Computer Vision (2nd Edition) by Chi Hau Chen,Louis-francois Pau,Patrick S P Wang Pdf

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.

Author : Markus Kächele
Publisher : Springer Nature
Page : 188 pages
File Size : 52,6 Mb
Release : 2019-11-19
Category : Computers
ISBN : 9783658286743

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Machine Learning Systems for Multimodal Affect Recognition by Markus Kächele Pdf

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.

Author : Amit Konar,Aruna Chakraborty
Publisher : John Wiley & Sons
Page : 580 pages
File Size : 52,5 Mb
Release : 2015-01-27
Category : Technology & Engineering
ISBN : 9781118130667

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Emotion Recognition by Amit Konar,Aruna Chakraborty Pdf

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.

Author : Luefeng Chen,Min Wu,Witold Pedrycz,Kaoru Hirota
Publisher : Springer Nature
Page : 252 pages
File Size : 47,8 Mb
Release : 2020-11-13
Category : Technology & Engineering
ISBN : 9783030615772

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Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems by Luefeng Chen,Min Wu,Witold Pedrycz,Kaoru Hirota Pdf

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.

Author : Tobias Gruber
Publisher : GRIN Verlag
Page : 103 pages
File Size : 41,6 Mb
Release : 2015-06-02
Category : Technology & Engineering
ISBN : 9783656972273

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Comparison of different features sets and classifiers for emotion recognition of speech by Tobias Gruber Pdf

Bachelor Thesis from the year 2014 in the subject Electrotechnology, grade: 1,0, University of Stuttgart (Institut für Signalverarbeitung und Systemtheorie), course: Elektrotechnik und Informationstechnik, language: English, abstract: This thesis deals with emotion recognition from speech signals using several feature sets and classifiers. Feature sets with different sizes are compared: the feature set of the Institute for Signal Processing and System Theory as well as standardised feature sets of eight paralinguistic challenges. The question is whether there is a connection between the size of a feature set and the performance. The feature sets are investigated with SFFS and without in combination with Naive Bayes classifier, k-Nearest-Neighbour classifier and Support Vector Machine. The goal of this thesis is to find those features which are selected most commonly for good performance. Diese Arbeit befasst sich mit der Erkennung von Emotionen aus Sprachsignalen. Es werden verschiedene Merkmalsätze und Klassifizierer auf ihre Leistungsfähigkeit getestet. Dabei werden Merkmalsätze mit unterschiedlichen Größen verglichen: der Merkmalsatz vom Institut für Signalverarbeitung und Systemtheorie sowie standardisierte Merkmalsätze von acht Wettbewerben, in denen paralinguistische Informationen erkannt werden sollten. Die Frage ist, ob es einen Zusammenhang zwischen der Größe eines Merkmalsatzes und der Leistungsfähigkeit gibt. Die Merkmalsätze werden sowie mit auch als ohne Merkmalsauswahl (SFFS) in Kombination mit dem Naiven Bayes Klassifizierer, k-Nächste-Nachbarn Klassifizierer und einer Support Vector Machine untersucht. Das Ziel dieser Arbeit ist, die Merkmale zu finden, die bei den besten Merkmalsätzen am häufigsten ausgewählt wurden.

Author : Jianhua Tao,Tieniu Tan
Publisher : Springer Science & Business Media
Page : 1025 pages
File Size : 53,8 Mb
Release : 2005-10-27
Category : Computers
ISBN : 9783540296218

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Affective Computing and Intelligent Interaction by Jianhua Tao,Tieniu Tan Pdf

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.

Author : Alberto Del Bimbo,Rita Cucchiara,Stan Sclaroff,Giovanni Maria Farinella,Tao Mei,Marco Bertini,Hugo Jair Escalante,Roberto Vezzani
Publisher : Springer Nature
Page : 753 pages
File Size : 44,6 Mb
Release : 2021-02-22
Category : Computers
ISBN : 9783030687908

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Pattern Recognition. ICPR International Workshops and Challenges by Alberto Del Bimbo,Rita Cucchiara,Stan Sclaroff,Giovanni Maria Farinella,Tao Mei,Marco Bertini,Hugo Jair Escalante,Roberto Vezzani Pdf

This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

Author : Yana Suchy
Publisher : Guilford Press
Page : 385 pages
File Size : 42,5 Mb
Release : 2011-03-14
Category : Psychology
ISBN : 9781609180744

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Clinical Neuropsychology of Emotion by Yana Suchy Pdf

Written in an engaging, accessible style, this book synthesizes the growing body of knowledge on the neuropsychology of emotion and identifies practical clinical implications. The author unravels the processes that comprise a single emotional event, from the initial trigger through physiological and psychological responses. She also examines how patterns of emotional responses come together to motivate complex behavioral choices. Grounded in theory and research, the book discusses relevant syndromes and populations, reviews available assessment instruments, and describes how deficits in emotional processing affect cognition, daily functioning, and mental health.

Author : James Z. Wang
Publisher : Springer Nature
Page : 408 pages
File Size : 55,9 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9783031502699

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Modeling Visual Aesthetics, Emotion, and Artistic Style by James Z. Wang Pdf

Author : Thomas S. Huang,Anton Nijholt,Maja Pantic,Alex Pentland
Publisher : Springer
Page : 362 pages
File Size : 51,6 Mb
Release : 2007-07-10
Category : Computers
ISBN : 9783540723486

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Artifical Intelligence for Human Computing by Thomas S. Huang,Anton Nijholt,Maja Pantic,Alex Pentland Pdf

This book contains the thoroughly refereed post-proceedings of two events discussing AI for Human Computing: one Special Session during the Eighth International ACM Conference on Multimodal Interfaces 2006 and a Workshop organized in conjunction with the 20th International Joint Conference on Artificial Intelligence 2007. It covers foundational issues of human computing, sensing humans and their activities, and anthropocentric interaction models.

Author : Richard Ellis,Miltos Petridis
Publisher : Springer Science & Business Media
Page : 504 pages
File Size : 46,6 Mb
Release : 2009-10-28
Category : Computers
ISBN : 9781848829831

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Research and Development in Intelligent Systems XXVI by Richard Ellis,Miltos Petridis Pdf

The most common document formalisation for text classi?cation is the vector space model founded on the bag of words/phrases representation. The main advantage of the vector space model is that it can readily be employed by classi?cation - gorithms. However, the bag of words/phrases representation is suited to capturing only word/phrase frequency; structural and semantic information is ignored. It has been established that structural information plays an important role in classi?cation accuracy [14]. An alternative to the bag of words/phrases representation is a graph based rep- sentation, which intuitively possesses much more expressive power. However, this representation introduces an additional level of complexity in that the calculation of the similarity between two graphs is signi?cantly more computationally expensive than between two vectors (see for example [16]). Some work (see for example [12]) has been done on hybrid representations to capture both structural elements (- ing the graph model) and signi?cant features using the vector model. However the computational resources required to process this hybrid model are still extensive.

Author : Jian Yao,Yang Xiao,Peng You,Guang Sun
Publisher : Springer Nature
Page : 1174 pages
File Size : 40,5 Mb
Release : 2022-03-03
Category : Technology & Engineering
ISBN : 9789811669637

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The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021) by Jian Yao,Yang Xiao,Peng You,Guang Sun Pdf

This book is a collection of the papers accepted by the ICIVIS 2021—The International Conference on Image, Vision and Intelligent Systems held on June 15–17, 2021, in Changsha, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.

Author : S. Smys,João Manuel R. S. Tavares,Fuqian Shi
Publisher : Springer Nature
Page : 819 pages
File Size : 49,8 Mb
Release : 2023-04-07
Category : Technology & Engineering
ISBN : 9789811998195

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Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Fuqian Shi Pdf

This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.

Author : Soujanya Poria,Amir Hussain,Erik Cambria
Publisher : Springer
Page : 214 pages
File Size : 42,5 Mb
Release : 2018-10-24
Category : Medical
ISBN : 9783319950204

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Multimodal Sentiment Analysis by Soujanya Poria,Amir Hussain,Erik Cambria Pdf

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.