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Author: Subarna Shakya
Publisher: Springer Nature
ISBN: 9811618666
Category : Technology & Engineering
Languages : en
Pages : 875
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Book Description
This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.
Author: Subarna Shakya
Publisher: Springer Nature
ISBN: 9811618666
Category : Technology & Engineering
Languages : en
Pages : 875
Get Book Here
Book Description
This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.
Author: El Mehdi Bouhabba
Publisher:
ISBN:
Category :
Languages : en
Pages : 230
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Book Description
Enabling computer systems to recognize facial expressions and infer emotions from them in real time presents a challenging research topic. The recognition of emotional information is a key step towards giving computers the ability to interact more naturally and intelligently with people. One of the potential applications of face detection and facial expression recognition is in human computer interfaces. The system will be used for the interaction between human and humanoid robot head, where the detected expression will be mimicked by the robot head. The problem of facial recognition can be divided into two major areas: detection of the face region and identification of the detected region. Detecting human face in computer vision proves to be very challenging due to the fact that human faces can have different forms and colors, adverse lighting conditions, varying angles or view points, scaling differences and different backgrounds. Attempting recognition on an inaccurate detected face region is hopeless. This thesis describes a face detection framework that is capable of processing input images swiftly while achieving high detection rates. The presented face detection system is developed using the response of Haar-Like features and AdaBoost algorithm. A set of experiments in the domain of face detection is presented in this research. The developed system yields face detection performance comparable to the best existing systems, where its accuracy is up to 98%. The face and facial features detected in the video stream are used as input to a Support Vector Machine classifier, which is used for facial expression recognition. The method was evaluated in terms of recognition accuracy for a variety of interaction and classification scenario, and it was proven that the system is able to detect the four expressions successfully. The person-dependent and person-independent experiments demonstrate the effectiveness of a support vector machine to fully automatic and unobtrusive expression recognition in real time.
Author: Ioanna-Ourania Stathopoulou
Publisher: IOS Press
ISBN: 1607505967
Category : Computers
Languages : en
Pages : 268
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Book Description
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: Madhulika Bhatia
Publisher: LAP Lambert Academic Publishing
ISBN: 9783848493814
Category :
Languages : en
Pages : 172
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Book Description
A human face is a complex object with varying features.The work presents a face recognition system that uses eyes, nose & mouth approximations for training a neural network to recognize faces in different expressions such as natural, smiley, sad and surprised. The developed system is implemented using our face database and browsing images from the computer. We have developed an automatic facial expression recognition system using neural network classifiers. First, we use the rough contour estimation routine, mathematical morphology, and point contour detection method to extract the precise contours of the eyebrows, eyes, and mouth of a face image. Then we define 30 facial points .We choose 6 main action units, being composed of facial characteristic point's movements, as the input vectors for expression classifiers including radial basis function network. Preprocessing of image is done in Matlab6.0 using various filters, segmentation, location or tracking Then classification is done using neural networks classifier. Selected facial feature points were automatically trackes and extracted feature vectors were used to classify expression using Fuzzy logic control system.
Author: Olivier Pascalis
Publisher: Nova Publishers
ISBN: 9781590337752
Category : Psychology
Languages : en
Pages : 238
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Book Description
This book on face perception is one of the most researched areas in infancy and early childhood, because of the enormous information that the face conveys to its viewer, both in terms of the recognition of individuals and in the expressive information that faces convey. It remains a complex area, but a number of theoretical issues have emerged which motivate much of the current research. This book describes many of these issues, and also presents some empirical research findings to illustrate the ways in which researchers carry out their investigations.
Author: Yuan Ren
Publisher:
ISBN: 9780494437926
Category :
Languages : en
Pages : 118
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Book Description
A key requirement for developing any innovative system in a computing environment is to integrate a sufficiently friendly interface with the average end user. Accurate design of such a user-centered interface, however, means more than just the ergonomics of the panels and displays. It also requires that designers precisely define what information to use and how, where, and when to use it. Facial expression as a natural, non-intrusive and efficient way of communication has been considered as one of the potential inputs of such interfaces. The work of this thesis aims at designing a robust Facial Expression Recognition (FER) system by combining various techniques from computer vision and pattern recognition. Expression recognition is closely related to face recognition where a lot of research has been done and a vast array of algorithms have been introduced. FER can also be considered as a special case of a pattern recognition problem and many techniques are available. In the designing of an FER system, we can take advantage of these resources and use existing algorithms as building blocks of our system. So a major part of this work is to determine the optimal combination of algorithms. To do this, we first divide the system into 3 modules, i.e. Preprocessing, Feature Extraction and Classification, then for each of them some candidate methods are implemented, and eventually the optimal configuration is found by comparing the performance of different combinations. Another issue that is of great interest to facial expression recognition systems designers is the classifier which is the core of the system. Conventional classification algorithms assume the image is a single variable function of a underlying class label. However this is not true in face recognition area where the appearance of the face is influenced by multiple factors: identity, expression, illumination and so on. To solve this problem, in this thesis we propose two new algorithms, namely Higher Order Canonical Correlation Analysis and Simple Multifactor Analysis which model the image as a multivariable function. The addressed issues are challenging problems and are substantial for developing a facial expression recognition system.
Author: Paramartha Dutta
Publisher: Springer Nature
ISBN: 9811538832
Category : Computers
Languages : en
Pages : 276
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Book Description
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.
Author: Amit Konar
Publisher: John Wiley & Sons
ISBN: 1118130669
Category : Technology & Engineering
Languages : en
Pages : 580
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Book Description
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: Viktor Glebov
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Paul Ekman
Publisher:
ISBN:
Category : Facial expression
Languages : en
Pages : 153
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Book Description
