Interval Type-2 Fuzzy Model for Emotion Recognition from Facial Expression View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Amit Konar , Aruna Chakraborty , Anisha Halder , Rajshree Mandal , Ramadoss Janarthanan

ABSTRACT

The paper proposes a new approach to emotion recognition from facial expression of a subject by constructing an Interval type-2 fuzzy model. An interval type-2 fuzzy face-space is first constructed with the background knowledge of facial features of different subjects for different emotions. The fuzzy face-space thus created comprises primary membership distributions for m facial features, obtained from n subjects, each having \(\textit{l}\)-instances of facial expression for a given emotion. Second, the emotion of an unknown facial expression is determined based on the consensus of the measured facial features with the fuzzy face-space.The classification accuracy of the proposed method is as high as 88.66 %. More... »

PAGES

114-121

Book

TITLE

Perception and Machine Intelligence

ISBN

978-3-642-27386-5
978-3-642-27387-2

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-27387-2_15

DOI

http://dx.doi.org/10.1007/978-3-642-27387-2_15

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049669179


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