Emotion Recognition and Regulation in English Teaching Based on Emotion Computing Technology

In order to effectively and accurately recognize students’ emotions in English teaching, and timely regulate students’ emotions, a method of emotion recognition and regulation in English teaching based on emotion computing technology is proposed. Through the skin color model, students’ facial images in the English teaching classroom obtained by the camera are searched for skin color regions, and students’ facial expression images in English teaching are detected, to carry out size normalization and grayscale normalization on the detected facial expression image, preprocess the facial expression image, use the binary method to locate the main facial organs of eyes and mouth that affect emotion in the preprocessed facial expression image, extract the edge features of facial expression image and the features of eyes and mouth, and take all the extracted features as the input of the model, output students’ emotion categories, and make corresponding teaching strategy adjustment and students’ emotion regulation according to students’ emotion categories, so as to finally realize English teaching emotion recognition and regulation. Experiments show that this method can effectively and fully detect the facial expression images of students learning English, and it is efficient for English teaching emotion recognition.