UM 2003, 9th International Conference on User Model, June 22-26, 2003, Pittsburg, USA
In this paper, we describe algorithms developed to analyze physiological signals associated with emotions, in order to recognize the affective states of users via non-invasive technologies. We propose a framework for modeling user's emotions from the sensory inputs and interpretations of our multi-modal system. We also describe examples of circumstances in which this kind of system can be applied to.
Type:
Conférence
City:
Pittsburg
Date:
2003-06-22
Department:
Data Science
Eurecom Ref:
1806
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in UM 2003, 9th International Conference on User Model, June 22-26, 2003, Pittsburg, USA and is available at : http://dx.doi.org/10.1007/s10111-003-0143-x
