TY -的A2 -叮,白元盟-暹罗,阿里。非盟-苏莱曼,Naglaa f . AU - Algarni,安倍d . AU - Abd El-Samie Fathi e . AU - Sedik Ahmed PY - 2022 DA - 2022/02/02 TI -部署的机器学习技术人类情感检测SP - 8032673六世- 2022 AB -情感识别是其中一个热门研究领域。这是涉及到多个应用程序。最有趣的应用包括机器人视觉和互动机器人交流。人类情感可以检测到使用语音和视觉形式。面部表情可以被认为是理想的方法检测人的情绪。提出了一种实时的方法实现情感检测和部署的机器视觉应用程序。该方法包括四个阶段:预处理,关键一代,重点选择和角编码和分类。的主要思想是生成使用MediaPipe要点脸网格算法,基于实时深度学习。此外,生成的要点是使用一系列精心设计的网格编码发生器和角编码模块。此外,功能分解利用主成分分析(PCA)执行。 This phase is deployed to enhance the accuracy of emotion detection. Finally, the decomposed features are enrolled into a Machine Learning (ML) technique that depends on a Support Vector Machine (SVM), k-Nearest Neighbor (KNN), Naïve Bayes (NB), Logistic Regression (LR), or Random Forest (RF) classifier. Moreover, we deploy a Multilayer Perceptron (MLP) as an efficient deep neural network technique. The presented techniques are evaluated on different datasets with different evaluation metrics. The simulation results reveal that they achieve a superior performance with a human emotion detection accuracy of 97%, which ensures superiority among the efforts in this field. SN - 1687-5265 UR - https://doi.org/10.1155/2022/8032673 DO - 10.1155/2022/8032673 JF - Computational Intelligence and Neuroscience PB - Hindawi KW - ER -