Affective Computing Meets Design Patterns: A Pattern-Based Model of A Multimodal Emotion Recognition Framework
Gonzalez-Sanchez, J., Chavez-Echeagaray, M.E., Atkinson, R., and Burleson, W., “Affective Computing Meets Design Patterns:
A Pattern-Based Model of A Multimodal Emotion Recognition Framework”, Proceedings of 16th European Conference on Pattern Languages of Programs (July 2011) In print.
The computer’s ability to recognize human affective state given physiological signals is gaining in popularity to create empathetic systems such as learning environments, health care systems and videogames. Despite that, there are few frameworks, libraries, architectures, or software tools that allow systems developers to easily integrate emotion recognition into their software projects, and most of them are monomodal. The work reported here offers a way to fill this gap in the lack of models, addressing the use of software patterns to model a pattern-based approach for multimodal emotion recognition.