服刑人员情绪调节与行为制止系统的设计与实现

Design and Implementation of Emotion Regulation and Behavior Suppression System for Prisoners

摘要: 监狱干警可以通过此系统来了解服刑人员的心理状态掌握服刑人员动态，更有效促进监狱教育改造工作的开展。情绪识别技术通过对面部表情的嘴巴张开程度、眉毛上扬角度两项指标进行计算，从而分析服刑人员在生活中是否存在异常情况。若出现异常则与已知身份数据库对比面部特征数据点确定其身份，将异常表情图像保存到异常情绪文件夹对应身份文件夹下。此系统通过python第三方库来完成情绪提取，情绪特征集描述、测试验证来完善。

Abstract: Through this system, prison police can understand the psychological state of prisoners, master the dynamics of prisoners, and more effectively promote the development of prison education and reform. Emotion recognition technology calculates the mouth opening degree and eyebrow rising angle of facial expression, so as to analyze whether there are abnormalities in the life of prisoners. In case of abnormality, compare the facial feature data points with the known identity database to determine their identity, and save the abnormal expression image to the identity folder corresponding to the abnormal emotion folder. This system completes emotion extraction through Python third-party library, and is improved by emotion feature set description, test and verification.