Based on basic emotion theory and the PAD emotion model that can describe continuous emotion changes, we first propose a more general concept of a five-dimensional emotion model to better meet the needs in the area of emotion recognition. We determined the relationship between its dimensions and basic emotions and used a Pearson correlation analysis, multilayer perceptron, and other methods to compare and verify it with volunteer human identifiers. The results demonstrated that the five-dimensional emotion model was better than human identification in the field of emotion recognition. We also compared it with the PAD emotion model. The results demonstrated that the five-dimensional emotion model performed better. Finally, using the proposed model, we designed a technology prototype of a mood adaptive interface to demonstrate its potential application.

中文翻译：

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面部情感识别的五维情感模型研究

基于基本的情感理论和可以描述连续情感变化的PAD情感模型，我们首先提出一个更通用的五维情感模型概念，以更好地满足情感识别领域的需求。我们确定了它的维度和基本情绪之间的关系，并使用了Pearson相关分析，多层感知器和其他方法来与志愿者的人类标识符进行比较和验证。结果表明，在情感识别领域，五维情感模型优于人类识别。我们还将其与PAD情感模型进行了比较。结果表明，五维情感模型表现更好。最后，使用提出的模型，