We propose a method to recognize the `social attitude' of users towards an Embodied Conversational Agent (ECA) from a combination of linguistic and prosodic features. After de...
Fiorella de Rosis, Anton Batliner, Nicole Novielli...
Abstract. This paper describes affective and psychophysiological foundations used to help to control affective content in music production. Our work includes the proposal of a know...
The recognition of affective human communication may be used to provide developers with a rich source of information for creating systems that are capable of interacting well with ...
We propose a novel bimodal emotion recognition approach by using the boosting-based framework, in which we can automatically determine the adaptive weights for audio and visual fea...
In this paper we present a novel framework for analysing non-stylised motion in order to detect implicitly communicated affect. Our approach makes use of a segmentation technique w...