| Title | Facial emotion recognition based on LDA and Facial Landmark Detection |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Sun, Lanxin, Dai, JunBo, Shen, Xunbing |
| Conference Name | 2021 2nd International Conference on Artificial Intelligence and Education (ICAIE) |
| Keywords | Education, emotion recognition, Expression, face image, face recognition, facial landmark detection, facial recognition, feature extraction, Gray-scale, Human Behavior, human computer interaction, image recognition, LDA, Metrics, pubcrawl, resilience, Resiliency |
| Abstract | Emotion recognition in the field of human-computer interaction refers to that the computer has the corresponding perceptual ability to predict the emotional state of human beings in advance by observing human expressions, behaviors and emotions, so as to ensure that computers can communicate emotionally with humans. The main research work of this paper is to extract facial image features by using Linear Discriminant Analysis (LDA) and Facial Landmark Detection after grayscale processing and cropping, and then compare the accuracy after emotion recognition and classification to determine which feature extraction method is more effective. The test results show that the accuracy rate of emotion recognition in face images can reach 73.9% by using LDA method, and 84.5% by using Facial Landmark Detection method. Therefore, facial landmarks can be used to identify emotion in face images more accurately. |
| DOI | 10.1109/ICAIE53562.2021.00020 |
| Citation Key | sun_facial_2021 |
Facial emotion recognition based on LDA and Facial Landmark Detection