Abstract

The applications of emotion recognition in consumer electronics are increasing day by day. However the accuracy and stability of the decisions made by appliances largely depends on the efficient recognition of these emotions. The performance may degrade drastically due to interfering noise. This paper proposes a method which may improve the accuracy significantly. Results have confirmed that this system may help to improve the recognition results.

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