Communication model considering facial expressions and situations
- Resource Type
- Conference
- Authors
- Kitazaki, S.; Onisawa, T.
- Source
- 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228) Fuzzy systems Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on. 1:171-176 vol.1 1998
- Subject
- Computing and Processing
Emotion recognition
Face recognition
Human computer interaction
Neural networks
Eyes
Shape
Mouth
Fuzzy neural networks
Eyebrows
Psychology
- Language
- ISSN
- 1098-7584
This paper constructs a communication model by combining an inference model of emotions and a route decision system. The inference model of emotions recognizes emotions from not only facial expressions but also the situation of the route decision system by the use of a neural network model. The route decision system searches a route from a starting point to a destination which is given by linguistic instructions. Fuzziness in linguistic instructions is dealt with by the use of a fuzzy set. The system sometimes reaches a given destination or sometimes loses its way. When the route decision system loses its way, the system asks the route from the lost point to a subgoal or a goal. The route decision system also expresses its emotions through facial expressions according to its situation by the use of a neural network model. A simulation example shows that the presented communication model recognizes the route decision system emotions through its situation and facial expressions.