Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Developing multimodal intelligent affective interfaces for tele-home health care
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
An introduction to variable and feature selection
The Journal of Machine Learning Research
Communicating emotions in online chat using physiological sensors and animated text
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Emotion recognition from physiological signals using wireless sensors for presence technologies
Cognition, Technology and Work
An empirical study of machine learning techniques for affect recognition in human–robot interaction
Pattern Analysis & Applications
An empirical comparison of supervised learning algorithms
ICML '06 Proceedings of the 23rd international conference on Machine learning
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
Emotion representation and physiology assignments in digital systems
Interacting with Computers
International Journal of Human-Computer Studies
A user-independent real-time emotion recognition system for software agents in domestic environments
Engineering Applications of Artificial Intelligence
Using heart rate to control an interactive game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic prediction of frustration
International Journal of Human-Computer Studies
Anxiety-based affective communication for implicit human-machine interaction
Advanced Engineering Informatics
Using noninvasive wearable computers to recognize human emotions from physiological signals
EURASIP Journal on Applied Signal Processing
Entertainment capture through heart rate activity in physical interactive playgrounds
User Modeling and User-Adapted Interaction
International Journal of Human-Computer Studies
An empirical evaluation of supervised learning in high dimensions
Proceedings of the 25th international conference on Machine learning
Entertainment modeling through physiology in physical play
International Journal of Human-Computer Studies
A User Independent, Biosignal Based, Emotion Recognition Method
UM '07 Proceedings of the 11th international conference on User Modeling
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Emotion Recognition Based on Physiological Changes in Music Listening
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of physiological computing
Interacting with Computers
Power to the people: Leveraging human physiological traits to control microprocessor frequency
Proceedings of the 41st annual IEEE/ACM International Symposium on Microarchitecture
Short-term emotion assessment in a recall paradigm
International Journal of Human-Computer Studies
The Design and Analysis of a Real-Time, Continuous Arousal Monitor
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
A decision theoretic model for stress recognition and user assistance
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Affect-aware tutors: recognising and responding to student affect
International Journal of Learning Technology
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
The influence of implicit and explicit biofeedback in first-person shooter games
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Visual Computer: International Journal of Computer Graphics
Affectively intelligent and adaptive car interfaces
Information Sciences: an International Journal
Using physiological signals to detect natural interactive behavior
Applied Intelligence
Towards affective camera control in games
User Modeling and User-Adapted Interaction
Enjoyment recognition from physiological data in a car racing game
Proceedings of the 3rd international workshop on Affective interaction in natural environments
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Discriminating stress from cognitive load using a wearable EDA device
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
IEEE Transactions on Affective Computing
Benefits of subliminal feedback loops in human-computer interaction
Advances in Human-Computer Interaction - Special issue on subliminal communication in human-computer interaction
iHeartrate: a heart rate controlled in-flight music recommendation system
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research
Support Vector Machines to Define and Detect Agitation Transition
IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing
Biofeedback game design: using direct and indirect physiological control to enhance game interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic Recognition of Boredom in Video Games Using Novel Biosignal Moment-Based Features
IEEE Transactions on Affective Computing
The impact of system feedback on learners' affective and physiological states
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Affective State Estimation for Human–Robot Interaction
IEEE Transactions on Robotics
Online Affect Detection and Robot Behavior Adaptation for Intervention of Children With Autism
IEEE Transactions on Robotics
Detecting stress during real-world driving tasks using physiological sensors
IEEE Transactions on Intelligent Transportation Systems
Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy Evaluation of Heart Rate Signals for Mental Stress Assessment
IEEE Transactions on Fuzzy Systems
Are artificial neural networks black boxes?
IEEE Transactions on Neural Networks
Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Bio-Affective Computer Interface for Game Interaction
International Journal of Gaming and Computer-Mediated Simulations
Construction of the biocybernetic loop: a case study
Proceedings of the 14th ACM international conference on Multimodal interaction
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
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Physiological computing represents a mode of human-computer interaction where the computer monitors, analyzes and responds to the user's psychophysiological activity in real-time. Within the field, autonomic nervous system responses have been studied extensively since they can be measured quickly and unobtrusively. However, despite a vast body of literature available on the subject, there is still no universally accepted set of rules that would translate physiological data to psychological states. This paper surveys the work performed on data fusion and system adaptation using autonomic nervous system responses in psychophysiology and physiological computing during the last ten years. First, five prerequisites for data fusion are examined: psychological model selection, training set preparation, feature extraction, normalization and dimension reduction. Then, different methods for either classification or estimation of psychological states from the extracted features are presented and compared. Finally, implementations of system adaptation are reviewed: changing the system that the user is interacting with in response to cognitive or affective information inferred from autonomic nervous system responses. The paper is aimed primarily at psychologists and computer scientists who have already recorded autonomic nervous system responses and now need to create algorithms to determine the subject's psychological state.