원문정보
초록
영어
With the information society, the level of modern high-speed development, in order to adapt to constantly improve the economic standard of living, people are facing the pressure and thus the greater the incidence of depression showed a rising trend. The facial expression recognition based on the data of Facereader6 software, application SVM algorithm facial expression data in patients with depression feature extraction classification. Therefore, the law face expression feature extraction in patients with depression, according to the input different facial expressions to identify facial expressions in patients with depression. Population will suffer from depression in intervention and prevention have significant social role and practical significance.
목차
1. Introduction
2. Facereader6 Collection of Facial Expressions
3. Depression Expression Feature Extraction
3.1. Wavelet Transform Theory
3.2. Expression Recognition
4. Results Analysis
5. Summary
References