摘要
随着硬件设备的发展,物联网的概念已不再局限于工业仪器用途,而是延伸至家庭中,形成智能家居。在众多智能家居系统的研究中,几乎没有一套手势识别系统应用于实际案例中,主要是准确率及实际使用影响因素太过复杂等原因造成的。基于此,笔者将手势控制板结合图像识别方法进行手势识别的双重认证。所提出的手势识别准确率达90%,比SVM方法的准确率高1%,并且利用树莓派作为控制中心构建手势识别系统。
With the development of hardware equipment,the concept of Internet of things is no longer limited to the use of industrial instruments,but extended to the family,forming a smart home.In the research of many smart home systems,almost no gesture recognition system is applied in the actual cases,which is mainly caused by the accuracy and the complexity of the factors affecting the actual use.Based on this,the author combines gesture control board with image recognition method for dual authentication of gesture recognition.The accuracy of gesture recognition is 90%,1%higher than that of SVM,and raspberry pie is used as control center to build gesture recognition system.
作者
张维维
高向
汪宝珠
刘大铭
Zhang Weiwei;Gao Xiang;Wang Baozhu;Liu Daming(Ningxia University,Yinchuan Ningxia 750021,China;China Three Gorges Corporation,Beijing 100038,China)
出处
《信息与电脑》
2020年第7期63-66,共4页
Information & Computer
关键词
树莓派
手势识别
智能家居
raspberry pi
gesture recognition
smart home
