EMOTION DETECTION USING FUZZY LOGIC

Aim of this paper is providing a novel method for evaluating emotion ilicitation procedures based on emotion recognition. Attention should be paid to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper focuses on an idea to define emotion from different perspectives and explore possible causes and variations of different parameters. Here the authors determined the scope of fuzzy relational approach to human emotion identification from facial expression. Initially the facial features are extracted from selective regions which are fuzzified and mapped onto an emotion space. This has been implemented using Mamdani type relational model. In subsequent stages Max-min inverse fuzzy relation has been used to determine the fuzziness of emotions if values of facial expressions are known.