
- •Stellingen
- •Propositions
- •List of Figures
- •List of Tables
- •1 Introduction
- •Introduction
- •Affect, emotion, and related constructs
- •Affective Computing: A concise overview
- •The closed loop model
- •Three disciplines
- •Human-Computer Interaction (HCI)
- •Health Informatics
- •Three disciplines, one family
- •Outline
- •2 A review of Affective Computing
- •Introduction
- •Vision
- •Speech
- •Biosignals
- •A review
- •Time for a change
- •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
- •Mapping events on signals
- •Discussion and conclusion
- •Interpreting the signals measured
- •Looking back and forth
- •5 Emotion models, environment, personality, and demographics
- •Introduction
- •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
- •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
- •Introduction
- •Data set
- •Procedure
- •Preprocessing
- •Normalization
- •Baseline matrix
- •Feature selection
- •k-Nearest Neighbors (k-NN)
- •Support vector machines (SVM)
- •Multi-Layer Perceptron (MLP) neural network
- •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)
- •Conclusions
- •9 Cross-validation of bimodal health-related stress assessment
- •Introduction
- •Speech signal processing
- •Outlier removal
- •Parameter selection
- •Dimensionality Reduction
- •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
- •10 Guidelines for ASP
- •Introduction
- •Signal processing guidelines
- •Physical sensing characteristics
- •Temporal construction
- •Normalization
- •Context
- •Pattern recognition guidelines
- •Validation
- •Triangulation
- •Conclusion
- •11 Discussion
- •Introduction
- •Hot topics: On the value of this monograph
- •Applications: Here and now!
- •TV experience
- •Knowledge representations
- •Computer-Aided Diagnosis (CAD)
- •Visions of the future
- •Robot nannies
- •Digital Human Model
- •Conclusion
- •Bibliography
- •Summary
- •Samenvatting
- •Dankwoord
- •Curriculum Vitae
- •Publications and Patents: A selection
- •Publications
- •Patents
- •SIKS Dissertation Series

F Publications and Patents: A selection
tional Conference on Fun and Games: Extended abstracts - Posters, demonstrations, and workshops, p. 50–53. October 20-21, Eindhoven - The Netherlands.
4.Drunen, A., Broek, E.L. van den, and Heffelaar, T. (2008). uLog: Towards attention aware user-system interactions measurement. In A. J. Spink and M. R. Ballintijn and N. D. Bogers and F. Grieco and L. W. S. Loijens and L. P. J. J. Noldus and G. Smit and P. H. Zimmerman (Eds.), Proceedings of Measuring Behavior 2008: 6th International Conference on Methods and Techniques in Behavioral Research, p. 109–110. August 26-29, Maastricht - The Netherlands.
3.Broek, E.L. van den, Schut, M.H., Westerink, J.H.D.M., Herk, J. van, and Tuinenbreijer, K. (2006). Computing emotion awareness through facial electromyography. Lecture Notes in Computer Science (Human-Computer Interaction), 3979, 51–62.
2.Broek, E.L. van den, Schut, M.H., Tuinenbreijer, K., and Westerink, J.H.D.M. (2006). Communication and Persuasion Technology: Psychophysiology of Emotions and User-Profiling. Lecture Notes in Computer Science (Persuasive Technology), 3962, 154–157.
1.Broek, E.L. van den (2005). Empathic Agent Technology (EAT). In L. Johnson, D. Richards, E. Sklar, and U. Wilensky (Eds.), Proceedings of the AAMAS–05 Agent-Based Systems for Human Learning (ABSHL) workshop, p. 59–67. July 26, Utrecht – The Netherlands.
Patents
3.Janssen, J.H., Westerink, J.H.D.M., & Broek, E.L. van den (2009). Method and system for selecting items using physiological parameters. International Patent Application No. [processed] ID: 673745 (PH013128EP1), filed on April 02, 2009.
2. Bialoskorski, L.S.S., Westerink, J.H.D.M., & Broek, E.L. van den (2009). System for sensing emotions in movement and expressing them with light or sound (MoodSwings) International Patent Application No. [processed] ID: 674616 (PH012766EP1), filed on March 10, 2009.
1.Westerink, J.H.D.M., Broek, E.L. van den, Schut, M.H., Tuinenbreijer, K. (2007). Higher order GSR-measurement interpretation indicating emotions. International Patent Application No. PCT/IB2008/050477 (PH007322), filed on February 11, 2007.
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