Effects of individual differences in emotion estimation based on music and EEG

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  • 音楽と脳波に基づく感情推定における個体差の影響
  • オノガク ト ノウハ ニ モトズク カンジョウ スイテイ ニオケル コタイサ ノ エイキョウ
  • オンガク ト ノウハ ニ モトズク カンジョウ スイテイ ニ オケル コタイサ ノ エイキョウ

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Emotion recognition using electroencephalogram (EEG) has been paid much attention based on various machine learning techniques. Recognizing emotion is a difficult task due to the non-linear nature of the EEG signal. In this study, we propose a regression model for emotion estimation using Convolutional Neural Networks (CNN). Using EEG open data set, DEAP, we verify that the proposed method slightly improved the performance by incorporating regularization terms. We also observed that the performance is different in each individual. The proposed method is a general model but would enhance the performance by incorporating individual differences.

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