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

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... ents 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. The depression expression recognition flowchart was shown in Figure 1 . First, select 13 depressed patients facial photograph, and depression facial expression photograph input Facereader6 expression recognition software, extract the appropriate joy, anger, sadness, surprise, disgust, fear or six pictures of expression data to application SVM algorithm to extract facial features corresponding with severe depression, and finally entered a variety of facial expressions do classification, extraction with depression in patients with facial expression output.