The society of mind
Towards a theory of emergent functionality
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Proceedings of HCI International (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Ergonomics and User Interfaces-Volume I - Volume I
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Developing multimodal intelligent affective interfaces for tele-home health care
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Wearable and automotive systems for affect recognition from physiology
Wearable and automotive systems for affect recognition from physiology
Emotive alert: HMM-based emotion detection in voicemail messages
Proceedings of the 10th international conference on Intelligent user interfaces
Emotion Recognition and Synthesis System on Speech
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Real-time emotion recognition using biologically inspired models
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affective e-Learning in residential and pervasive computing environments
Information Systems Frontiers
Delphi programming of normality tests
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
Short-term emotion assessment in a recall paradigm
International Journal of Human-Computer Studies
An Active Classification System for Context Representation and Acquisition
Proceedings of the 2007 conference on Advances in Ambient Intelligence
Knowledge Engineering for Affective Bi-Modal Interaction in Mobile Devices
Proceedings of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
Real-Time Emotional State Estimator for Adaptive Virtual Reality Stimulation
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Unobtrusive Sensing of Emotions (USE)
Journal of Ambient Intelligence and Smart Environments
A conceptual framework of affective context-aware interactive learning media
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Affective negotiation support systems
Journal of Ambient Intelligence and Smart Environments
Affect-aware behaviour modelling and control inside an intelligent environment
Pervasive and Mobile Computing
Multi-source domain adaptation and its application to early detection of fatigue
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Unobtrusive Sensing of Emotions (USE)
Journal of Ambient Intelligence and Smart Environments
Multisource domain adaptation and its application to early detection of fatigue
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Modelling pervasive environments using bespoke and commercial game-based simulators
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Bio-Affective Computer Interface for Game Interaction
International Journal of Gaming and Computer-Mediated Simulations
The Journal of Supercomputing
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The mystery surrounding emotions, how they work and how they affect our lives has not yet been unravelled. Scientists still debate the real nature of emotions, whether they are evolutionary, physiological or cognitive are just a few of the different approaches used to explain affective states. Regardless of the various emotional paradigms, neurologists have made progress in demonstrating that emotion is as, or more, important than reason in the process of making decisions and deciding actions. The significance of these findings should not be overlooked in a world that is increasingly reliant on computers to accommodate to user needs. In this paper, a novel approach for recognizing and classifying positive and negative emotional changes in real time using physiological signals is presented. Based on sequential analysis and autoassociative networks, the emotion detection system outlined here is potentially capable of operating on any individual regardless of their physical state and emotional intensity without requiring an arduous adaptation or pre-analysis phase. Results from applying this methodology on real-time data collected from a single subject demonstrated a recognition level of 71.4% which is comparable to the best results achieved by others through off-line analysis. It is suggested that the detection mechanism outlined in this paper has all the characteristics needed to perform emotion recognition in pervasive computing.