Emotional intelligence: a cybernetic approach
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2009
|
| Schriftenreihe: | Studies in computational intelligence
234 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVI, 326 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 9783540686064 9783540686095 |
Internformat
MARC
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| 100 | 1 | |a Chakraborty, Aruna |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Emotional intelligence |b a cybernetic approach |c Aruna Chakraborty and Amit Konar |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2009 | |
| 300 | |a XVI, 326 S. |b Ill., graph. Darst. |c 235 mm x 155 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Studies in computational intelligence |v 234 | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Emotional intelligence | |
| 650 | 4 | |a Emotions |x Mathematical models | |
| 650 | 4 | |a Emotions |x Measurement | |
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Datensatz im Suchindex
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|---|---|
| adam_text |
Contents
1
Introduction
to Emotional Intelligence
. 1
1.1
What Is Emotional Intelligence?
. 1
1.2
Causes of Emotions
. 4
1.3
Typical Characteristics of Emotion
. 4
1.4
Basic Components of Emotion
. 5
1.4.1
The Cognitive Component
. 6
1.4.2
The Evaluative Component
. 6
1.4.3
The Motivational Component
. 6
1.4.4
The Feeling Component
. 6
1.5
Rationality of Emotion
. 7
1.6
Regulation and Control of Emotion
. 8
1.7
The Biological Basis of Emotion
. 10
1.7.1
An Affective Neuro Scientific Model
. 11
Self Regulation Models of Emotion
. 13
1.9
Emotional Learning
. 17
1.10
Mathematical Modeling of Emotional Dynamics
. 18
1.11
Controlling Emotion by Artificial Means
. 21
1.12
Effect of Emotion Modeling on Human Machine Interactions
. 22
1.13
Scope of the Book
. 23
1.14
Summary
. 25
References
. 31
Mathematical Modeling and Analysis of Dynamical Systems
. 35
2.1
Introduction
. 35
2.2
System Modeling and Stability
. 36
2.3
Stability Analysis of Dynamics by Lyapunov Energy Functions
. 40
2.3.1
Stability Analysis for Continuous Dynamics
. 42
2.4
Stability Analysis of Fuzzy Systems
. 45
2.4.1
Mamdani Type Fuzzy Systems
. 45
2.4.2
Takagi-Sugeno Type Fuzzy Systems
. 46
2.4.3
Stability Analysis of
Т
-S
Fuzzy Systems
. 48
2.5
Chaotic Neuro Dynamics and Lyapunov Exponents
. 52
2.6
Emotional Dynamics and Stability Analysis
. 54
2.7
The Lyapunov Exponents and the Chaotic Emotional Dynamics
. 55
References
. 60
XII Contents
3
Preliminaries on Image Processing
. 63
3.1
Introduction
. 63
3.2
Discrete Fourier and Cosine Transforms
. 64
3.3
Preprocessing and Noise Filtering
. 66
3.3.1
Neighborhood Averaging
. 66
3.3.2
Median Filtering
. 66
3.3.3
Thresholding
. 67
3.4
Image Segmentation Algorithms
. 69
3.4.1
Boundary Detection Algorithms
. 69
3.4.2
Region Oriented Segmentation Algorithm
. 75
3.4.2.1
Region Growing by Pixel Aggregation
. 76
3.4.2.2
Regions Splitting and Merging
. 76
3.4.2.3
Image Segmentation by Fuzzy Clustering
. 77
3.5
Boundary Description
. 84
3.5.1
Chain Codes
. 84
3.5.2
Fourier Descriptors
. 86
3.5.3
Regional Descriptors
. 86
3.6
Object Recognition from an Image
. 87
3.6.1
Unsupervised Clustering
. 87
3.6.2
Supervised Classification
. 88
3.6.3
Image Matching
. 88
3.6.4
Template Matching
. 89
3.7
Scene Interpretation
. 90
3.8
Conclusions
. 91
References
. 91
4
Brain Imaging and Psycho-pathological Studies on Self-regulation
of Emotion
. 93
4.1
Introduction
. 93
4.2
Emotion Processing by the Human Brain
. 94
4.2.1
The
Amygdale
. 94
4.2.2
Animal
Studieson
Amygdale.
94
4.2.3
Fear and Threat Perception of the
Amygdale
. 95
4.2.4
The Orbitofrontal Cortex (OFC)
. 96
4.2.5
Animal Lesions to Prefrontal OFC
. 96
4.2.6
Neuro-psychology and Functional Neuro-imaging Studies
on OFC Behavior
. 96
4.2.7
The
Insula
. 97
4.2.8
Experiment of Selective Lesion of
Insula
Cortex
. 97
4.2.9
The Anterior Cingulated
. 97
4.2.10
Emotion Monitoring by the Cingulated Cortex
.· 98
4.3
The Role of Medial Frontal Cortex in Self-regulation of Emotion.
99
4.4
The Anterior Cingulate Cortex as a Self-regulatory Agent
. 99
4.5
Voluntary Self-regulation of Emotion
. 101
4.5.1
fMRI Studies on Voluntary Regulation of Sexual Arousals.
102
4.5.2
Voluntary Regulation of Sadness in Adults
. 103
Contents XIII
4.5.3
Neural
Circuitry Underlying
Emotional
Self-regulation
. 103
4.6
EEG
Conditioning and Affective Disorders
. 104
4.6.1
Pain Conditioning in Rats
. 105
4.6.2
Clinical Study of Depression Using
EEG
. 106
4.6.3
EEG
Analysis for Premenstrual Dysphoric Disorder
. 106
4.7
Emotion Dysregulation and Psycho-pathological Issues
. 107
4.7.1
Emotinal Dysregulation in Childhood from Non-clinical
Samples
. 107
4.7.2
Clinical Samples for Emotional Dysregulation for
Children
. 108
4.7.3
Emotion Regulation in Adulthood
. 109
4.7.3.1
Non-clinical Studies
. 109
4.7.3.2
Clinical Studies
. 110
4.8
Conclusions
. 110
References
. 124
Fuzzy Models for Facial Expression-Based Emotion Recognition
and Control
. 133
5.1
Introduction
. 133
5.2
Filtering, Segmentation and Localization of Facial Components
. 135
5.2.1
Segmentation of the Mouth Region
. 136
5.2.2
Segmentation of the Eye-Region
. 137
5.2.3
Segmentation of the Eyebrow Constriction
. 139
5.3
Determination of Facial Attributes
. 139
5.3.1
Determination of the Mouth-Opening
. 139
5.3.2
Determination of the Eye-Opening
. 139
5.3.3
Determination of the Length of Eyebrow-Constriction
. 139
5.4
Fuzzy Relational Model for Emotion Detection
. 141
5.4.1
Fuzzification of Facial Attributes
. 141
5.4.2
The Fuzzy Relational Model for Emotion Detection
. 141
5.5
ExperimentsandResults
. 144
5.6
Validation of the System Performance
. 152
5.7
Proposed Model of Emotion Transition and Its Control
. 153
5.7.1
The Model
. 153
5.7.2
Properties of the Model
. 155
5.7.3
Emotion Control by Mamdani's Model
. 157
5.7.4
Architecture of the Proposed Emotion Control Scheme
. 163
5.7.5
Experiments and Results
. 163
5.8
Conclusions
. 166
References
. 171
Control of Mental Stability in Emotion-Logic Interactive
Dynamics
. 175
6.1
Introduction
. 175
6.2
Stable Points of Non-temporal Logic
. 176
XIV
Contents
6.2.1
Finding Common Interpretations of Propositional
Statements
. 177
6.2.2
Determining Stable Points of Logical Statements
. 179
6.3
Stable Points in Propositional Temporal Logic
. 180
6.4
Stability of Propositional Temporal System Using Lyapunov
Energy Function
. 183
6.4.1
The Lyapunov Energy Function
. 183
6.4.2
Stability Analysis of Propositional Temporal System
. 183
6.5
Human Emotion Modeling and Stability Analysis
. 185
6.5.1
Stability Analysis of the Emotional Dynamics
. 186
6.5.2
Weight Adaptation in Emotion Dynamics by Hebbian
Learning
. 189
6.5.3
Improving Relative Stability of the Learning Dynamics
. 190
6.6
The Fuzzy Temporal Representation of Phenomena Involving
Emotional States
. 190
6.7
Stabilization of Emotional Dynamics
. 194
6.8
Psychological Stability in Emotion-Logic Counter-Actions
. 195
6.9
Conclusions
. 197
References
. 207
7
Multiple Emotions and Their Chaotic Dynamics
. 209
7.1
Introduction
. 209
7.2
Proposed Model for Chaotic Emotional Dynamics
. 210
7.3
Effect of Variation in Parameters of the Emotional Dynamics
. 212
7.3.1
Variation in a«
. 212
7.3.2
Variation in
су
. 214
7.3.3
Variation of by
. 215
7.4
Chaotic Fluctuation in Emotional State
. 217
7.5
Stability Analysis of the Proposed Emotional Dynamics by
Lyapunov Energy Function
. 219
7.6
Parameter Selection of the Emotional Dynamics by Experiments
with Audio-Visual Stimulus
. 220
7.7
A Stabilization Scheme for the Mixed Emotional Dynamics
. 226
7.8
Conclusions
. 228
References
. 232
8
Electroencephalographic Signal Processing for Detection and
Prediction of Emotion
. 235
8.1
Introduction
. 235
8.2
EEG
Prediction by Adaptive Filtering
. 236
8.2.1
LMS Filter
. 237
8.2.2
EEG
Prediction by NLMS Algorithm
. 238
8.2.3
The RLS Filter for
EEG
Prediction
. 240
8.2.4
The
Kalman
Filter for
EEG
Prediction
. 242
8.2.5
Implication of the Results
. 245
8.3
EEG
Signal Prediction by Wavelet Coefficients
. 247
Contents
XV
8.4
Bio-potential
Signals in Emotion
Prediction
. 252
8.4.1
Principles
in SVM. 253
8.5 Emotion
Clustering by Neural
Networks. 256
8.6
Conclusions
. 259
References
. 259
9
Applications and Future Directions of Emotional Intelligence
. 261
9.1
Introductions
. 261
9.2
Application in Human-Machine Interactive Systems
. 263
9.2.1
Input Interfaces
. 263
9.2.2
Output Interfaces
. 263
9.2.3
Embodiment of Artificial Characters
. 264
9.3
Application in Multi-agent Co-operation of Mobile Robotics
. 265
9.4
Emotional Intelligence in Psycho-therapy
. 266
9.5
Detection of Anti-social Motives from Emotional Expressions
. 267
9.6
Applications in Video Photography/Movie Making
. 269
9.7
Applications in Personality Matching of People for Matrimonial
Counseling
. 270
9.8
Synthesizing Emotions in Voice
. 271
9.9
Application in User Assistance Systems
. 272
9.10
Emotion Recognition from Voice Samples
. 273
9.10.1
Speech Articulatory Features
. 273
9.11
Personality Building of Artificial Creatures
. 275
9.12 Multimodal
Emotion Recognition
. 277
9.12.1
Current Status
. 277
9.12.2
Research Initiative at Jadavpur University
. 278
9.13
Parameter Identification of Emotional Dynamics Using
EEG
and
fMRI Brain Imaging
. 283
9.13.1
System Identification Approach to
EEG
Dynamics
Modeling by Evolutionary Algorithms
. 283
9.13.2
Genetic Algorithm in Emotional System Identification
. 285
9.13.3
Particle Swarm Optimization in Emotional System
Identification
. 286
9.13.4
Differential Evolution Algorithm in Emotional System
Identification
. 289
9.14
Conclusions
. 290
References
. 291
10
Open Research Problems
. 295
10.1
Introduction
. 295
10.2
Reasoning with Emotions
. 297
10.3
Uncertainty Management in Emotion-Based Reasoning
. 298
10.4
Selected Open Problems
. 299
10.4.1
Multi-modal Emotion Recognition
. 299
XVI Contents
10.4.2
Artificial Control of Emotion by Takagi-Sugeno
Method
. 299
10.4.3
Determining Manifestation of Emotion on Facial
Expression from
EEG
Signals
. 299
10.5
Further Readings for Researchers
. 300
References
. 301
Appendix
. 305
Author's Biography
. 319
Subject Index
. 321 |
| any_adam_object | 1 |
| author | Chakraborty, Aruna Konar, Amit |
| author_facet | Chakraborty, Aruna Konar, Amit |
| author_role | aut aut |
| author_sort | Chakraborty, Aruna |
| author_variant | a c ac a k ak |
| building | Verbundindex |
| bvnumber | BV035863623 |
| callnumber-first | B - Philosophy, Psychology, Religion |
| callnumber-label | BF576 |
| callnumber-raw | BF576 |
| callnumber-search | BF576 |
| callnumber-sort | BF 3576 |
| callnumber-subject | BF - Psychology |
| classification_rvk | CW 4000 ST 300 |
| classification_tum | PSY 330f DAT 700f |
| ctrlnum | (OCoLC)428029013 (DE-599)BVBBV035863623 |
| dewey-full | 152.4 |
| dewey-hundreds | 100 - Philosophy & psychology |
| dewey-ones | 152 - Perception, movement, emotions & drives |
| dewey-raw | 152.4 |
| dewey-search | 152.4 |
| dewey-sort | 3152.4 |
| dewey-tens | 150 - Psychology |
| discipline | Maschinenbau / Maschinenwesen Informatik Psychologie |
| format | Book |
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| id | DE-604.BV035863623 |
| illustrated | Illustrated |
| indexdate | 2024-10-23T10:04:50Z |
| institution | BVB |
| isbn | 9783540686064 9783540686095 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018721458 |
| oclc_num | 428029013 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-91 DE-BY-TUM DE-11 DE-19 DE-BY-UBM |
| owner_facet | DE-355 DE-BY-UBR DE-91 DE-BY-TUM DE-11 DE-19 DE-BY-UBM |
| physical | XVI, 326 S. Ill., graph. Darst. 235 mm x 155 mm |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Chakraborty, Aruna Verfasser aut Emotional intelligence a cybernetic approach Aruna Chakraborty and Amit Konar Berlin [u.a.] Springer 2009 XVI, 326 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 234 Mathematisches Modell Emotional intelligence Emotions Mathematical models Emotions Measurement Intelligenz (DE-588)4027251-5 gnd rswk-swf Kybernetisches Modell (DE-588)4324238-8 gnd rswk-swf Gefühl (DE-588)4019702-5 gnd rswk-swf Multimodales System (DE-588)4830853-5 gnd rswk-swf Affective Computing (DE-588)4784306-8 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 s Affective Computing (DE-588)4784306-8 s Multimodales System (DE-588)4830853-5 s Gefühl (DE-588)4019702-5 s Intelligenz (DE-588)4027251-5 s Kybernetisches Modell (DE-588)4324238-8 s b DE-604 Konar, Amit Verfasser aut Studies in computational intelligence 234 (DE-604)BV020822171 234 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018721458&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Chakraborty, Aruna Konar, Amit Emotional intelligence a cybernetic approach Studies in computational intelligence Mathematisches Modell Emotional intelligence Emotions Mathematical models Emotions Measurement Intelligenz (DE-588)4027251-5 gnd Kybernetisches Modell (DE-588)4324238-8 gnd Gefühl (DE-588)4019702-5 gnd Multimodales System (DE-588)4830853-5 gnd Affective Computing (DE-588)4784306-8 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| subject_GND | (DE-588)4027251-5 (DE-588)4324238-8 (DE-588)4019702-5 (DE-588)4830853-5 (DE-588)4784306-8 (DE-588)4125909-9 |
| title | Emotional intelligence a cybernetic approach |
| title_auth | Emotional intelligence a cybernetic approach |
| title_exact_search | Emotional intelligence a cybernetic approach |
| title_full | Emotional intelligence a cybernetic approach Aruna Chakraborty and Amit Konar |
| title_fullStr | Emotional intelligence a cybernetic approach Aruna Chakraborty and Amit Konar |
| title_full_unstemmed | Emotional intelligence a cybernetic approach Aruna Chakraborty and Amit Konar |
| title_short | Emotional intelligence |
| title_sort | emotional intelligence a cybernetic approach |
| title_sub | a cybernetic approach |
| topic | Mathematisches Modell Emotional intelligence Emotions Mathematical models Emotions Measurement Intelligenz (DE-588)4027251-5 gnd Kybernetisches Modell (DE-588)4324238-8 gnd Gefühl (DE-588)4019702-5 gnd Multimodales System (DE-588)4830853-5 gnd Affective Computing (DE-588)4784306-8 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Mathematisches Modell Emotional intelligence Emotions Mathematical models Emotions Measurement Intelligenz Kybernetisches Modell Gefühl Multimodales System Affective Computing Mensch-Maschine-Kommunikation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018721458&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT chakrabortyaruna emotionalintelligenceacyberneticapproach AT konaramit emotionalintelligenceacyberneticapproach |