PAD-based multimodal affective fusion

Abstract

The study of multimodality is comparatively less developed for affective interfaces than for their traditional counterparts. However, one condition for the successful development of affective interface technologies is the development of frameworks for the real-time multimodal fusion. In this paper, we describe an approach to multimodal affective fusion, which relies on a dimensional model, Pleasure-Arousal-Dominance (PAD) to support the fusion of affective modalities, each input modality being represented as a PAD vector. We describe how this model supports both affective content fusion and temporal fusion within a unified approach. We report results from early user studies which confirm the existence of a correlation between measured affective input and user temperament scores.