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Kansei Engineering and Soft Computing: Theory and Practice

Book Description

Kansei Engineering and Soft Computing: Theory and Practice offers readers a comprehensive review of kansei engineering, soft computing techniques, and the fusion of these two fields from a variety of viewpoints. It explores traditional technologies, as well as solutions to real-world problems through the concept of kansei and the effective utilization of soft computing techniques. This publication is an essential read for professionals, researchers, and students in the field of kansei information processing and soft computing providing both theoretical and practical viewpoints of research in humanized technology.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  5. Foreword
  6. Preface
  7. Acknowledgment
  8. Chapter 1: Soft Computing and its Applications
    1. ABSTRACT
    2. 1. Introduction
    3. 2. Neural Networks
    4. 3. Fuzzy sets and fuzzy logic
    5. 4. Heuristic Search techniques
    6. 5. Rough Set Theory
    7. 6. Applications of Soft Computing
    8. 7. Conclusion
  9. Chapter 2: Particle Swarm Optimizer for High-Dimensional Data Clustering
    1. Abstract
    2. 1. INTRODUCTION
    3. 2. Background
    4. 3. PSO FOR HIGH-DIMENSIONAL DATA CLUSTERING
    5. 4. Conclusion
  10. Chapter 3: Text Mining for Analysis of Interviews and Questionnaires
    1. ABSTRACT
    2. 1. Introduction
    3. 2. Text mining technique
    4. 3. multiple analysis by text mining of THE remarks of elderly and disabled people
    5. 4. Conclusion
  11. Chapter 4: Intra-Class Threshold Selection in Face Space Using Set Estimation Technique
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MATHEMATICAL PRELIMINARIES FOR THE THRESHOLD SELECTION
    4. 3. PROPOSED SET ESTIMATION METHOD
    5. 4. THRESHOLD INCORPORATED FACE CLASSIFICATION
    6. 5. EXPERIMENTAL DESIGN AND RESULT ANALYSIS
    7. 6. Conclusion
  12. Chapter 5: DNA Computing
    1. Abstract
    2. 1. Introduction
    3. 2. The birth and development of DNA Computing
    4. 3. The theoretical framework of DNA computing
    5. 4. DNA Computing Models in Practice
    6. 5. DNA encoding
    7. 6. Conclusion
  13. Chapter 6: Kansei Database and AR*-Tree for Speeding up the Retrieval
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. Some Existing Kansei Retrieval Systems
    4. 3. General Flow of Kansei Retrieval Systems
    5. 4. Indexing Technologies for Speeding up Kansei Retrieval
    6. 5. Summary and Future Work
  14. Chapter 7: Emotional Semantic Detection from Multimedia
    1. Abstract
    2. 1. Introduction
    3. 2. A general frame of research on Affective multimedia content analysis
    4. 3. Emotional semantic detection from images
    5. 4. Emotional semantic detection from videos
    6. 5. Emotional semantic detection from music
    7. 6. Current Antetype Systems
    8. 7. FuTURE rESEARCH dIRECTIONS
  15. Chapter 8: Fuzzy Logic for Non-smooth Dynamical Systems
    1. Abstract
    2. 1 Introduction
    3. 2 Backgrounds
    4. 3 Issues and Difficulties
    5. 4 Conclusion and Future Research
  16. Chapter 9: An Intimate Relation
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATION & INTIMACY
    4. 3. BEING IMMORTAL
    5. 4. A QUESTIONABLE LIKENESS
    6. 5. A CYBER-BODY
    7. 6. AN OUTMODED BODY
    8. 7. A SKIN FOR OUR IDENTITY
    9. 8. BECOMING A MATURE HUMAN BEING
    10. 9. A SYMBOLIC SPACE
    11. 10. FEELING REAL AND BEING ALIVE
    12. 11. NEW ENSLAVING CIVILIZATION
    13. 12. CONSCIOUSNESS TO BE SHARED
    14. 13. CONCLUSION
  17. Chapter 10: Music and Kansei
    1. Abstract
    2. 1. INTRODUCTION
    3. 2. REVIEW OF KANSEI ENGINEERING RESEARCHES ON MUSIC
    4. 3. Kansei evaluation experiment on modes and melodic ranges
    5. 4. RHYTHM KANSEI STUDY
    6. 5. FuTURE rESEARCH dIRECTIONS
    7. 6. Conclusion
  18. Chapter 11: Analyses of People’s Perceptions on Sidewalk Environments Combining Factor Analysis and Rough Sets Approach
    1. ABSTRACT
    2. 1. Introduction
    3. 2. Objectives
    4. 3. Method and the data
    5. 4 Analysis and findings
    6. 5. Discussions
    7. 6 Conclusions and future directions
  19. Chapter 12: Affective Facial Expressions Using Auto-Associative Neural Network in Kansei Robot ‘‘Ifbot’’
    1. Abstract
    2. 1. Introduction
    3. 2. ifbot
    4. 3. Emotion space and emotion regions
    5. 4. Emotion expressions
    6. 5. Emotion Transition
    7. 6. facial EXPRESSIONs OF personality
    8. 7. Conclusion
  20. Chapter 13: Natural Effect of Spatial and Temporal Color Sequence on Human Color Impression
    1. Abstract
    2. 1. Introduction
    3. 2. sPatial and temporal information
    4. 3. Temporal Experiments
    5. 4. Spatial experiments
    6. 5. Fuzzy Model
    7. 6. Discussion
    8. 7. Conclusion
    9. Appendix
  21. Chapter 14: Rural Scenery Narrative and Field Experiences
    1. Abstract
    2. 1. Introduction
    3. 2. Background
    4. 3. Differentiation of scenery narratives caused by field experiences
    5. 4. Differentiation of normative scenery narratives caused by shared memories
    6. 5. Conclusion
  22. Chapter 15: Psychophysiological Applications in Kansei Design
    1. Abstract
    2. 1. Introduction
    3. 2. Psychophysiological tools for design inspiration
    4. 3. Psychophysiological knowledge for design inspiration
    5. 4. Psychophysiology to complete design requirements
    6. 5. Conclusion
  23. Chapter 16: Analyzing Coordinate Relations in Handwriting Activity
    1. 1. INTRODUCTION
    2. 2. Definition of handwriting SKILL as tacit knowledge
    3. 3. processing of Handwriting skill analysis
    4. 4. experiment
    5. 5. Conclusion
  24. Chapter 17: Kansei’s Physiological Measurement and Its application (1)
    1. Abstract
    2. 1. INTRODUCTION
    3. 2. Biomarkers
    4. 3. Methods of biomarker studies
    5. 4. PENI Experimental Procedure and the Response of Biomarkers against a Short-Term Stressor
    6. 5. Kinetic model of biomarkers secretion against a Short-Term Stressor
    7. 6. Limitations and future work
    8. 7. Conclusion
  25. Chapter 18: Kansei’s Physiological Measurement and Its Application (2)
    1. Abstract
    2. 1. BACKGROUND
    3. 2. ACQUSITION OF ECG SIGNAL
    4. 3. OVERVIEW OF ECG SIGNAL AS FATIGUE INDICATOR
    5. 4. THE EXPERIMENT PROCEDURE
    6. 5. PCA AND HMM APPROACH FOR ESTIMATING HUMAN STATES
    7. 6. RESULTS
    8. 7. CONCLUSION
  26. Chapter 19: The China Brain Project
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. The PARCONE (Partially Connected Neural Evolvable) MODEL
    4. 3. experimental Results with the Parcone Model
    5. 4. IMSI (INTER MODULE SIGNALING INTERFACE) MULTI MODULE OPERATING SYSTEM
    6. 5. NVidia’s Tesla S1070 PC Supercomputer
    7. 7. THE INTERFACE BETWEEN THE NAO ROBOT THE IMSI OPERATING SYSTEM
    8. 8. Language & Cognition
    9. 9. Demonstrations (“Demos”)
    10. Future Challenges
    11. Conclusion
    12. Appendix
  27. Compilation of References
  28. About the Contributors