Guest Editorial - Special Issue on Robust Recognition Methods for Multimodal Interaction

摘要

This Special Issue of the Elsevier Journal of Pattern Recognition Letters entitled "Robust Recognition Methods for Multimodal Interaction" presents the ongoing and active research in the Pattern Recognition discipline applied to multimodal interfaces. The main advantage of multimodal systems is that they are intuitive, natural and allow rich expressiveness of particular interest in the special issue are real-time applications of multimodal interfaces to healthcare, assistive technologies, robotics, entertainment and context-aware systems. Multimodal interfaces allow us to benefit from streams of rich, expressive real-time sensed data that can otherwise be overwhelming. In this context, one of the main challenges still to be tackled is the design of robust and effective pattern recognition algorithms that can not only extract significant features to make sense of these data, but whose modalities can also self-adjust their integration so that ambiguity in one modality is always resolved by the certainty of the remaining ones.