國立虎尾科技大學 |

Human Emotion Recognition from Face Images

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Human Emotion Recognition from Face Images/ by Paramartha Dutta, Asit Barman.
Author:	Dutta, Paramartha.
other author:	Barman, Asit.
Description:	XIX, 264 p. 112 illus., 99 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Pattern recognition. -
Online resource:	https://doi.org/10.1007/978-981-15-3883-4
ISBN:	9789811538834

Human Emotion Recognition from Face Images
Dutta, Paramartha.

Human Emotion Recognition from Face Images[electronic resource] /by Paramartha Dutta, Asit Barman. - 1st ed. 2020. - XIX, 264 p. 112 illus., 99 illus. in color.online resource. - Cognitive Intelligence and Robotics,2520-1956. - Cognitive Intelligence and Robotics,.

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.

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.

ISBN: 9789811538834

Standard No.: 10.1007/978-981-15-3883-4doiSubjects--Topical Terms:

1253525
Pattern recognition.

LC Class. No.: QA76.9.U83

Dewey Class. No.: 005.437

Human Emotion Recognition from Face Images
LDR:02988nam a22004335i 4500 001 1023744
003 DE-He213
005 20200629122715.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811538834 $9 978-981-15-3883-4
024 7 $a 10.1007/978-981-15-3883-4 $2 doi
035 $a 978-981-15-3883-4
050 4 $a QA76.9.U83
050 4 $a QA76.9.H85
072 7 $a UYZG $2 bicssc
072 7 $a COM070000 $2 bisacsh
072 7 $a UYZG $2 thema
082 0 4 $a 005.437 $2 23
082 0 4 $a 4.019 $2 23
100 1 $a Dutta, Paramartha. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1048724
245 1 0 $a Human Emotion Recognition from Face Images $h [electronic resource] / $c by Paramartha Dutta, Asit Barman.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XIX, 264 p. 112 illus., 99 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Cognitive Intelligence and Robotics, $x 2520-1956
505 0 $a 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.
520 $a 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.
650 0 $a Pattern recognition. $3 1253525
650 0 $a User interfaces (Computer systems). $3 1253526
650 0 $a Optical data processing. $3 639187
650 1 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Pattern Recognition. $3 669796
700 1 $a Barman, Asit. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1319759
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811538827
776 0 8 $i Printed edition: $z 9789811538841
776 0 8 $i Printed edition: $z 9789811538858
830 0 $a Cognitive Intelligence and Robotics, $x 2520-1956 $3 1279326
856 4 0 $u https://doi.org/10.1007/978-981-15-3883-4
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)