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At present, mental health has become the focus of attention, emotional cognition is an important part of mental health. Based on the deep learning, this project will construct the emotion recognition method of deep convolution neural network to realize the feature extraction of emotion information. The research contents include: (1) Emotion feature extraction; (2) Parameter optimization of genetic algorithm; (3) Emotion classifier training; (4) Emotion model building. Compared with the classical N-lattice model, the prediction accuracy of this method is 0.15, 0.17 and 0.16 respectively. Mental health intervention for the future to lay a good foundation.

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The Emotion Recognition Method of Deep Convolutional Neural Network is Constructed on the Basis of Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Ying Li,
  • Rongzhen He

摘要

At present, mental health has become the focus of attention, emotional cognition is an important part of mental health. Based on the deep learning, this project will construct the emotion recognition method of deep convolution neural network to realize the feature extraction of emotion information. The research contents include: (1) Emotion feature extraction; (2) Parameter optimization of genetic algorithm; (3) Emotion classifier training; (4) Emotion model building. Compared with the classical N-lattice model, the prediction accuracy of this method is 0.15, 0.17 and 0.16 respectively. Mental health intervention for the future to lay a good foundation.