首页|基于微信小程序的SCN人脸表情识别系统设计

基于微信小程序的SCN人脸表情识别系统设计

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针对人脸表情识别技术,利用自修复网络(Self-Cure Network,SCN)人脸表情识别算法模型的优势,实现SCN在移动端设备上的应用,利用训练好的模型构建人脸表情识别系统,以微信小程序为系统平台,开发了一款表情识别微信小程序.经过系统测试,结果表明该系统表情识别准确率高、操作方便、运行流畅、功能完备,基于微信小程序的SCN人脸表情识别系统具有广泛的应用前景.
Design of SCN Facial Expression Recognition System Based on WeChat APP
In view of facial expression recognition technology,the advantages of self-repair network(Self-Cure Network,SCN)fa-cial expression recognition algorithm model are used to realize the application of SCN on mobile terminal devices,using the trained model to build facial expression recognition system,and develop a wechat small program as the system platform.After the system test,the results show that the system has high expression recognition accuracy,convenient operation,smooth operation and complete functions.The SCN face expression recognition system based on wechat small program has a wide range of application prospects.

face expression recognition technologySelf-Cure NetworkWeChat small programalgorithm application

于延、刘忠旭

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哈尔滨师范大学 计算机科学与信息工程学院,黑龙江 哈尔滨 150025

人脸表情识别技术 自修复网络 微信小程序 算法应用

2024

电脑与电信
广东省对外科技交流中心

电脑与电信

影响因子:0.117
ISSN:1008-6609
年,卷(期):2024.(1)
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