Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Joint processing of audio-visual information for the recognition of emotional expressions in human-computer interaction
Emotion recognition from physiological signals using wireless sensors for presence technologies
Cognition, Technology and Work
Bimodal HCI-related affect recognition
Proceedings of the 6th international conference on Multimodal interfaces
Analysis of emotion recognition using facial expressions, speech and multimodal information
Proceedings of the 6th international conference on Multimodal interfaces
Empirically building and evaluating a probabilistic model of user affect
User Modeling and User-Adapted Interaction
Modeling User Affect from Causes and Effects
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Emotion on the road: necessity, acceptance, and feasibility of affective computing in the car
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Ubiquitous emotion-aware computing
Personal and Ubiquitous Computing
The physiological measurements as a critical indicator in users' experience evaluation
Proceedings of the 17th Panhellenic Conference on Informatics
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Recently, there has been a significant amount of work on the recognition of emotions from visual, verbal or physiological information. Most approaches to emotion recognition so far concentrate, however, on a single modality while work on the integration of multimodal information, in particular on fusing physiological signals with verbal or visual data, is scarce. In this paper, we analyze various methods for fusing physiological and vocal information and compare the recognition results of the bimodal recognition approach with the results of the unimodal approach.