Office of Naval Research
Grant #N000141010143
Grant #N000141310438

Paper
ABE: An Agent-Based Software Architecture for a Multimodal Emotion Recognition Framework

Gonzalez-Sanchez, J., Chavez-Echeagaray, M.E., Atkinson, R., and Burleson, W., “ABE: An Agent-Based Software Architecture for a Multimodal Emotion Recognition Framework”, Proceedings of 9th Working IEEE/IFIP Conference on Software Architecture (June 2011).

 
 
Abstract

The computer’s ability to recognize human emotional states 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, which allow systems developers to easily integrate emotion recognition into their software projects. The work reported here offers a first step to fill this gap in the lack of frameworks and models, addressing: (a) the modeling of an agent-driven component-based architecture for multimodal emotion recognition, called ABE, and (b) the use of ABE to implement a multimodal emotion recognition framework to support third-party systems becoming empathetic systems.

 
IEEE Digital Library
Javier Gonzalez-Sanchez, Maria Elena Chavez-Echeagaray, Robert Atkinson, Winslow Burleson, “ ABE: An Agent-Based Software Architecture for a Multimodal Emotion Recognition Framework,” wicsa, pp.187-193, 2011 Ninth Working IEEE/IFIP Conference on Software Architecture, 2011.

 
Slides
These are the slides for the paper presentation at WICSA, any comments are more than welcome. The presenters of the papers briefly introduce our work in the first half (45 minutes) of the session and we have the second half to brainstorm questions with the attendants.

 
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