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Updated: Jul 12, 2025

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
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基于AdaBoost的随机森林模型用于面部图像的情感分类

Kumari Gubbala1, M Naveen Kumar1, A Mary Sowjanya2

  • 1Department of CSE, CMR Engineering College, Hyderabad, Telangana, India.

MethodsX
|October 25, 2023
PubMed
概括

这项研究引入了从社交媒体图像中分析面部情绪的新型模型,实现了高精度. 开发的基于AdaBoost的随机森林分类器 (ARFEC) 为可靠的情感检测提供了比现有方法更好的性能.

关键词:
两个维的离散正正规库存井转换 (DOST)在 AdaBoost 中使用 AdaBoost.在AdaBoost和RandomForest分类器中.情绪的分类 情绪的分类面部表情表达了自己的情绪.随机的森林随机的森林情绪分析是一种情绪分析.

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