Affective Signal Processing (ASP) : Unraveling the mystery of emotions

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List of Figures List of Tables I. Prologue 1 Introduction Introduction Affect, emotion, and related constructs Affective Computing: A concise overview Affective Signal Processing (ASP): A research rationale The closed loop model Three disciplines Human-Computer Interaction (HCI) Artificial Intelligence (AI) Health Informatics Three disciplines, one family Outline 2 A review of Affective Computing Introduction Vision Speech Biosignals A review Time for a change II. Baseline-free ASP 3 Statistical moments as signal features Introduction Emotion Measures of affect Affective wearables Experiment Participants Equipment and materials Procedure Data reduction Results Discussion Comparison with the literature Use in products 4 Time windows and event-related responses Introduction Data reduction Results The influence of scene changes The film fragments Mapping events on signals Discussion and conclusion Interpreting the signals measured Looking back and forth III. Bi-modal ASP 5 Emotion models, environment, personality, and demographics Introduction Emotions On defining emotions Modeling emotion Ubiquitous signals of emotion Method Participants International Affective Picture System (IAPS) Digital Rating System (DRS) Signal processing Signal selection Speech signal Heart rate variability (HRV) extraction Normalization Results Considerations with the analysis The (dimensional) valence-arousal (VA) model The six basic emotions The valence-arousal (VA) model versus basic emotions Discussion The five issues under investigation Conclusion 6 Static versus dynamic stimuli Introduction Emotion Method Preparation for analysis Results Considerations with the analysis The (dimensional) valence-arousal (VA) model The six basic emotions The valence-arousal (VA) model versus basic emotions Static versus dynamic stimuli Conclusion IV. Towards affective computing 7 Automatic classification of affective signals Introduction Data set Procedure Preprocessing Normalization Baseline matrix Feature selection Classification results k-Nearest Neighbors (k-NN) Support vector machines (SVM) Multi-Layer Perceptron (MLP) neural network Reflection on the results Discussion Conclusions 8 Two clinical case studies on bimodal health-related stress assessment Introduction Post-Traumatic Stress Disorder (PTSD) Storytelling and reliving the past Emotion detection by means of speech signal analysis The Subjective Unit of Distress (SUD) Design and procedure Features extracted from the speech signal Results Results of the Stress-Provoking Story (SPS) sessions Results of the Re-Living (RL) sessions Overview of the features Discussion Stress-Provoking Stories (SPS) study Re-Living (RL) study Stress-Provoking Stories (SPS) versus Re-Living (RL) Reflection: Methodological issues and suggestions Conclusions 9 Cross-validation of bimodal health-related stress assessment Introduction Speech signal processing Outlier removal Parameter selection Dimensionality Reduction Classification techniques k-Nearest Neighbors (k-NN) Support vector machines (SVM) Multi-Layer Perceptron (MLP) neural network Results Cross-validation Assessment of the experimental design Discussion Conclusion V. Epilogue 10 Guidelines for ASP Introduction Signal processing guidelines Physical sensing characteristics Temporal construction Normalization Context Pattern recognition guidelines Validation Triangulation User identification Conclusion 11 Discussion Introduction Historical reflection Hot topics: On the value of this monograph Impressions / expressions: Affective Computing's I/O Applications: Here and now! TV experience Knowledge representations Computer-Aided Diagnosis (CAD) Visions of the future Robot nannies Digital Human Model Conclusion Bibliography A Statistical techniques Introduction Principal component analysis (PCA) Analysis of variance (ANOVA) Linear regression models k-nearest neighbors (k-NN) Artificial neural networks (ANN) Support vector machine (SVM) Leave-one-out cross validation (LOOCV) Summary Samenvatting Dankwoord Curriculum Vitae Publications and Patents: A selection Publications Patents SIKS Dissertation Series