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Emotion Recognition - A Pattern Analysis Approach (Hardcover, New)
Loot Price: R3,345
Discovery Miles 33 450
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Emotion Recognition - A Pattern Analysis Approach (Hardcover, New)
Expected to ship within 12 - 17 working days
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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.
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