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A Study on the Facial Expression Recognition using Deep Learning Technique

원문정보

초록

영어

In this paper, the pattern of extracting the same expression is proposed by using the Android intelligent device to identify the facial expression. The understanding and expression of expression are very important to human computer interaction, and the technology to identify human expressions is very popular. Instead of searching for the symbols that users often use, you can identify facial expressions with a camera, which is a useful technique that can be used now. This thesis puts forward the technology of the third data is available on the website of the set, use the content to improve the infrastructure of the facial expression recognition accuracy, to improve the synthesis of neural network algorithm, making the facial expression recognition model, the user's facial expressions and similar expressions, reached 66%. It doesn't need to search for symbols. If you use the camera to recognize the expression, it will appear symbols immediately. So, this service is the symbols used when people send messages to others, and it can feel a lot of convenience. In countless symbols, there is no need to find symbols, which is an increasing trend in deep learning. So, we need to use more suitable algorithm for expression recognition, and then improve accuracy.

목차

Abstract
 1. Introduction
 2. Related Study
  2.1 Deep Learning
  2.2 Tensor flow
  2.3. CNN (Convolutional Neural Network) Algorithm
  2.4. Face Recognition
  2.5. Harr
 3. Body
 4. Results
 5. Conclusion
 6. Acknowledgement
 7. Reference

저자정보

  • Bong Jae Jeong Department of Medical IT Marketing, Eulji University, Korea
  • Min Soo Kang Department of Medical IT, Eulji University, Korea
  • Yong Gyu Jung Department of Medical IT, Eulji University, Korea

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