Affective computing
Probabilistic Combination of Multiple Modalities to Detect Interest
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Affective multimodal human-computer interaction
Proceedings of the 13th annual ACM international conference on Multimedia
Multimodal human-computer interaction: A survey
Computer Vision and Image Understanding
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
An emotion space model for recognition of emotions in spoken chinese
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Adaptive on-line neural network retraining for real life multimodal emotion recognition
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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A subject's emotional expression is of course influenced by his personality, but several other factors can play a role. His position, the constraints he undergoes, or the setting of his working space can all deeply impact emotional expression through movement. When performing an automatic emotion recognition, an evaluator must be able to set up some parameters for the recognition so as to adapt to the evaluation conditions. Current recognition system do not allow for such adaptability. In this paper we present the eMotion software for movement-based emotion recognition. eMotion's software architecture allows easy integration of graphical widgets for parametering emotional features extraction to suit the task at hand.