Human emotional and cognitive states evolve with variable intensity and clarity through the course of social interactions and experiences, and they are continuously influenced by a variety of input multimodal information from the environment and the interaction participants. This has motivated the development of a new area within affective computing that treats emotions as continuous variables and examines their representation, annotation and modeling. In this work, we use as a starting point the continuous emotional annotation that we performed on a large, multimodal database, and discuss annotation challenges, design decisions, annotation results and lessons learned from this effort, in the context of existing literature. Additionally, we discuss a variety of open questions for future research in terms of labeling, combining and processing continuous assessments of emotional and cognitive states.
['Angeliki Metallinou', 'Shrikanth Narayanan']
Annotation and processing of continuous emotional attributes: Challenges and opportunities