远程医疗监护报警系统中的人脸表情识别算法研究  

Research on Facial Expression Recognition Algorithm in Remote Medical Monitoring Alarm System

作　　者：张四平[1] 王梅[1] 邓华侔 胡念 Zhang Siping;Wang Mei;Deng Huamou;Hu Nian(School of Software,Hunan College of Information,Changsha Hunan 410200,China)

机构地区：[1]湖南信息职业技术学院软件学院,湖南长沙410200

出　　处：《信息与电脑》2020年第14期68-70,共3页Information & Computer

基　　金：湖南省教育厅科学研究项目“基于云计算人脸表情特征提取与识别的研究”(项目编号:XJK016CXX005);长沙市社科规划一般项目“基于“互联网+”推进智慧医疗建设研究”(项目编号:2020csskktzc63)。

摘　　要：使用常规远程医疗监护报警系统时,现有人脸表情识别算法针对表情提取过程具有一定空间识别局限,为此设计一种新型远程医疗监护报警系统中人脸表情识别算法。该算法使用空间归一化的方式获取人脸肤色空间,针对获取数据进行特征提取,感知人脸面部表情,对表情中的空间位置行与方向选择性进行判断,最终得到人脸表情结果;模拟仿真环境,设定仿真数据,使用常规两种方法与设计方法相比较。仿真实验结果表明,设计算法对人脸表情识别时均优于常规方法,能够有效解决上述问题,为优化远程医疗监护报警系统提供更加精准的识别算法。When using the conventional telemedicine monitoring and alarm system,the existing facial expression recognition algorithms have certain spatial recognition limitations in the process of expression extraction.Therefore,a new facial expression recognition algorithm in telemedicine monitoring and alarm system is designed.The algorithm uses the method of spatial normalization to obtain the skin color space of human face,extracts the features of the obtained data,perceives the facial expression,judges the spatial position line and direction selectivity in the expression,and finally obtains the facial expression result;simulates the simulation environment,sets the simulation data,and uses the conventional two methods to compare with the design method.The simulation results show that the design algorithm is better than the conventional methods in facial expression recognition,and can effectively solve the above problems,and provide a more accurate recognition algorithm for the optimization of telemedicine monitoring and alarm system.

关 键 词：远程医疗 监护报警系统 表情识别 空间识别局限 

分 类 号：R197.39[医药卫生—卫生事业管理]