Emotion Recognition: A Pattern Analysis Approach

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Название: Emotion Recognition: A Pattern Analysis Approach

автор: Amit Konar, Aruna Chakraborty

Издательство: Wiley

Год выпуска: 2015

ISBN: 978-1118130667

Формат: PDF

Размер: 11 MB

Количество страниц: 584

Язык: Английский

Описание: 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.