一种增强现实分场景推送情景感知服务的方法

Method of Pushing Context-Aware Service of Augmented Reality by Scene Classification

针对目前增强现实浏览器中由于标签使用不当阻碍用户认知操作的问题,提出了一种分场景推送情景感知服务的方法.该方法根据用户寻找兴趣点并检索内容的认知流程划分场景,采用情景感知四层服务框架分别创建了3个场景的功能模块,通过关联3个场景模块,构建了完整的移动增强现实浏览器系统.实验结果表明,与同类浏览器相比,基于上述方法设计的增强现实浏览器系统在分类准确度上平均提高了13%,用户对系统预测效果的平均满意度提高了26%.

This dissertation presents a method of pushing context-aware service based on scene classification to overcome the improper use of labels in augmented reality browsers caused by the interference with user＇s cognitive operations. User＇s scene is separated by using the proposed method on the basis of user＇s cognitive processes when searching and retrieving points of interest. The function module of three scenes is built by using the framework of four-layer context-aware services respectively, then the overall construction of the augmented reality system is completed by associating three scenario modules. Experimental results of comparison with the existing popular browsers show that the classification accuracy of the system constructed by using the proposed method is improved by 13% on average, and the user＇s average satisfaction with the prediction results of the system is increased by about 26%.