基于微信小程序的SCN人脸表情识别系统设计
Design of SCN Facial Expression Recognition System Based on WeChat APP
于延 1刘忠旭1
作者信息
- 1. 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
- 折叠
摘要
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.
Abstract
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.
关键词
人脸表情识别技术/自修复网络/微信小程序/算法应用Key words
face expression recognition technology/Self-Cure Network/WeChat small program/algorithm application引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据