Interactive environments for music and multimedia
Multimedia Systems - Special issue on audio and multimedia
Emotional speech: towards a new generation of databases
Speech Communication - Special issue on speech and emotion
Social signals, their function, and automatic analysis: a survey
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Multi-scale entropy analysis of dominance in social creative activities
Proceedings of the international conference on Multimedia
Human computing and machine understanding of human behavior: a survey
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
IEEE Transactions on Affective Computing
Toward a Minimal Representation of Affective Gestures
IEEE Transactions on Affective Computing
Automatic Recognition of Non-Acted Affective Postures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Aiming at providing a solid foundation to the creation of future affect detection applications in HCI, we propose to analyze human expressive gesture by computing movement Sample Entropy (SampEn). This method provides two main advantages: (i) it is adapted to the non-linearity and non-stationarity of human movement; (ii) it allows a fine-grain analysis of the information encoded in the movement features dynamics. A realtime application is presented, implementing the SampEn method. Preliminary results obtained by computing SampEn on two expressive features, smoothness and symmetry, are provided in a video available on the web.