Emotion Recognition

A Pattern Analysis Approach

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Technology, Electronics, Digital
Cover of the book Emotion Recognition by Amit Konar, Aruna Chakraborty, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Amit Konar, Aruna Chakraborty ISBN: 9781118910603
Publisher: Wiley Publication: December 29, 2014
Imprint: Wiley Language: English
Author: Amit Konar, Aruna Chakraborty
ISBN: 9781118910603
Publisher: Wiley
Publication: December 29, 2014
Imprint: Wiley
Language: English

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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

More books from Wiley

Cover of the book Multivariable Predictive Control by Amit Konar, Aruna Chakraborty
Cover of the book Frequently Asked Questions in Islamic Finance by Amit Konar, Aruna Chakraborty
Cover of the book Performance Based Building Design 1 by Amit Konar, Aruna Chakraborty
Cover of the book Windows 7 For Dummies, Enhanced Edition by Amit Konar, Aruna Chakraborty
Cover of the book National Security Intelligence by Amit Konar, Aruna Chakraborty
Cover of the book Consulting For Dummies by Amit Konar, Aruna Chakraborty
Cover of the book Quinoa by Amit Konar, Aruna Chakraborty
Cover of the book Locke by Amit Konar, Aruna Chakraborty
Cover of the book Introducing Christian Ethics by Amit Konar, Aruna Chakraborty
Cover of the book The Good Representative by Amit Konar, Aruna Chakraborty
Cover of the book Neuroscience-based Cognitive Therapy by Amit Konar, Aruna Chakraborty
Cover of the book Mergers and Acquisitions by Amit Konar, Aruna Chakraborty
Cover of the book Communicating Emotion at Work by Amit Konar, Aruna Chakraborty
Cover of the book What is the History of the Book? by Amit Konar, Aruna Chakraborty
Cover of the book Temperature and Plant Development by Amit Konar, Aruna Chakraborty
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy