The framework of mental state transition analysis

Authors:
Peilin Jiang;Hua Xiang;Fuji Ren;Shingo Kuroiwa;Nanning Zheng
Affiliations:
The University of Tokushima, Tokushima, Japan and Xi'an Jiaotong University, Xi'an, China;The University of Tokushima, Tokushima, Japan;The University of Tokushima, Tokushima, Japan;The University of Tokushima, Tokushima, Japan;Xi'an Jiaotong University, Xi'an, China
Venue:
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Year:
2007

Citing 3
Cited 0

Affective computing

Affective computing
An advanced mental state transition network and psychological experiments

EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Active affective State detection and user assistance with dynamic bayesian networks

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

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Abstract

The Human Computer Interaction (HCI) Technology has emerged in the different fields in applications in computer vision and recognition systems such as virtual environment, video games, e-business and multimedia management. In this paper we propose a framework of designing the Mental State Transition (MST) of a human being or virtual character. The expressions of human emotion can be easily remarked by facial expressions, gestures, sound and other visual characteristics. But the potential MST modeling in affective data are always hidden actually. We analysis the framework of MST and employ DBNs to construct the MST networks and finally the experiment has been implemented to derive the ground truth of the data and verify the effectiveness.