- •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
Curriculum Vitae
E Curriculum Vitae
Egon L. van den Broek was born on August 22, 1974 in Nijmegen, The Netherlands (NL). He obtained a M.Sc. (2001) in Artificial Intelligence and a Ph.D. (2005) on Human-Centered Content-Based Image Retrieval, both at the Radboud University Nijmegen, NL. His main research areas are human-centered computing (or human media interaction) and intelligent systems, with a specific interest in cognitive computer vision and affective computing. However, both his work and interests comprise many more branches of science and engineering (e.g., ambient intelligence, multimedia, and computational geometry).
Throughout the years, he has guided 50+ students on B.Sc., M.Sc., and Ph.D. level as well as students conducting a minor and post-doctoral students. He has been keynote and invited speaker on several conferences, has published 150+ scientific articles, holds 5 patent applications, (co-)developed several systems, and received various awards. Currently, he is assistant professor at both the University of Twente (NL) and the Radboud University Medical Center Nijmegen, NL. In addition, via Human-Centered Computing Consultancy, he has been and is consultant for various companies and institutes (e.g., Philips and the United Nations Office of Drugs and Crime, UNODC).
Egon holds several additional positions. He is external expert for Expertises Agence Nationale de la Recherche (ANR; France), Innovation by Science and Technology (IWT; Belgium), and The British Academy (UK). He is a member of 30+ national and international boards and program committees. Egon is founding editor-in-chief of the Pan Stanford Series in Artificial Intelligence and editorial board member of the encyclopedia of Interaction-Design.org. He is associate editor of the journals Behaviour & Information Technology and Health and Technology. Further, he is a member of the editorial board of the journals: Central European Journal of Computer Science, Journal of Ambient Intelligence and Smart Environments, Journal of Brain, Face and Emotion, and Journal of Usability Studies.
I: http://www.human-centeredcomputing.com/
I: http://www.cognitive-engineering.org/
E: vandenbroek@acm.org
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