Human Emotion Recognition Based on Face and Facial Expression Detection Using Deep Belief Network Under Complicated Backgrounds

Author:

Huang Lei12ORCID,Xie Fei23,Zhao Jing23,Shen Shibin4,Guang Weiran23,Lu Rongjian1

Affiliation:

1. Automation Department, School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, P. R. China

2. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, P. R. China

3. Nanjing Institute of Intelligent High-end, Equipment Industry Company Limited, Nanjing 210042, P. R. China

4. College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, P. R. China

Abstract

The human emotion recognition based on facial expression has a significant meaning in the application of intelligent man–machine interaction. However, the human face images vary largely in real environments due to the complex backgrounds and luminance. To solve this problem, this paper proposes a robust face detection method based on skin color enhancement model and a facial expression recognition algorithm with block principal component analysis (PCA). First, the luminance range of human face image is broadened and the contrast ratio of skin color is strengthened by the homomorphic filter. Second, the skin color enhancement model is established using YCbCr color space components to locate the face area. Third, the feature based on differential horizontal integral projection is extracted from the face. Finally, the block PCA with deep neural network is used to accomplish the facial expression recognition. The experimental results indicate that in the case of weaker illumination and more complicated backgrounds, both the face detection and facial expression recognition can be achieved effectively by the proposed algorithm, meanwhile the mean recognition rate obtained by the facial expression recognition method is improved by 2.7% comparing with the traditional Local Binary Patterns (LBPs) method.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference44 articles.

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1. Facial Expression Recognition Based on the Combination of Landmarks and Texture Features;2023 8th International Conference on Signal and Image Processing (ICSIP);2023-07-08

2. Novel Approach of Facial Expression Recognition for Cross-Datasets;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Enhanced Deep Learning Hybrid Model of CNN Based on Spatial Transformer Network for Facial Expression Recognition;International Journal of Pattern Recognition and Artificial Intelligence;2022-10-29

4. Expression Identification and Emotional Classification of Students in Job Interviews Based on Image Processing;Traitement du Signal;2022-04-30

5. A multimodal emotion recognition model integrating speech, video and MoCAP;Multimedia Tools and Applications;2022-04-13

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