Human Emotion Recognition from Face Images / by Paramartha Dutta, Asit Barman.

Format:

Book

Author/Creator:

Dutta, Paramartha, author.

Barman, Asit, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Cognitive Intelligence and Robotics,. 2520-1956

Cognitive Intelligence and Robotics, 2520-1956

Language:

English

Subjects (All):

User interfaces (Computer systems).

Optical data processing.

Pattern perception.

User Interfaces and Human Computer Interaction.

Image Processing and Computer Vision.

Pattern Recognition.

Local Subjects:

User Interfaces and Human Computer Interaction.

Image Processing and Computer Vision.

Pattern Recognition.

Physical Description:

1 online resource (XIX, 264 pages) : 112 illustrations, 99 illustrations in color.

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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.

Contents:

Introduction

Distance Signature for Recognizing Human Emotions

Shape Signature for recognizing Human Emotion

Distance Shape Signature Duo Ford Determination of Human Emotion

Distance Texture Signature Duo for Determination of Human Emotion.

Other Format:

Printed edition:

ISBN:

978-981-15-3883-4

9789811538834

Access Restriction:

Restricted for use by site license.