Development of Emotion Recognition Model based on Multi Layer Perceptron

In this paper, we propose sensibility recognition model that recognize user`s sensibility using brain waves. Method to acquire quantitative data of brain waves including priority living body data or sensitivity data to recognize user`s sensitivity need and pattern recognition techniques to examine closely present user`s sensitivity state through next acquired brain waves becomes problem that is important. In this paper, we used pattern recognition techniques to use Multi Layer Perceptron (MLP) that is pattern recognition techniques that recognize user`s sensibility state through brain waves. We measures several subject`s emotion brain waves in specification space for an experiment of sensibility recognition model`s which propose in this paper and we made a emotion DB by the meaning data that made of concentration or stability by the brain waves measured. The model recognizes new user`s sensibility by the user`s brain waves after study by sensibility recognition model which propose in this paper to emotion DB. Finally, we estimates the performance of sensibility recognition model which used brain waves as that measure the change of recognition rate by the number of subjects and a number of hidden nodes.

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