摘 要: 为解决精品资源共享课程平台系统用户信息安全和用户认证效率低下,以及用户信息通信时消息内容丢 包问题,特设计和实现了基于Android和Bmob云的精品资源共享课程平台系统。为提高用户信息安全以及用户认证效 率,在Android客户端采用了人脸识别技术,人脸检测采用AdaBoost算法、特征提取采用局部二值模式LBP算法、特征 匹配采用余弦相似度算法以提高人脸识别准确率。为解决移动学习用户信息通信时消息内容丢包问题,提出了定时器 +Service+多线程的方法定时检测消息内容,从而保证了消息内容的完整性。实践应用表明,该系统可以提高移动学习者 学习兴趣和学习效果。 |
关键词: Android;Bmob云;人脸识别;AdaBoost算法;LBP算法 |
中图分类号: TP311.52
文献标识码: A
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基金项目: 四川省教育厅2018年度科研项目“基于Bmob云平台和Android的精品资源共享课程平台系统的设计与实现”(项目编号:18ZB0503). |
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Quality Resource Sharing Course Platform System Based on Android and Bmob Cloud |
LUO Guotao,LIAO Jiali,LIU Fuying1,2,3
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1.( 1.Department of Information and Software Engineering, Chengdu Neusoft University, Chengdu 611844, China;2. 2.College of Computer Science, Sichuan TOP IT Vocational Institute, Chengdu 611743, China;3. 3.Computer Department, Chengdu Technological University, Chengdu 611730, China)
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Abstract: In order to solve the problems of user information security,low efficiency of user authentication and the loss of message contents when users communicate with each other,the platform system of quality resource sharing courses based on Android and Bmob cloud is specially designed and implemented.In order to improve user information security and user authentication efficiency,face recognition technology is adopted for Android terminals.AdaBoost algorithm is adopted for face detection,LBP algorithm for binary mode is adopted for feature extraction,and cosine similarity algorithm is adopted for feature matching to improve face recognition accuracy.In order to solve the packet loss problem of message content during information communication between mobile learning users,a method of timer + Service+ multithread is proposed to detect message content regularly,thus ensuring the integrity of message content.The practical application shows that the system can improve the learning interest and effect of mobile learners. |
Keywords: Android;Bmob cloud;face recognition;AdaBoost algorithm;LBP algorithm |