摘要
该文从桌面增强现实和人机自然对话两方面入手,重点对PC平台的人机交互进行重点研究,对基于KINECT的人机交互过程中的动作进行自定义,优化动作分类预测效果,提高系统虚实融合的准确性与实时效率。
This article consists in two aspects of the desktop augmented reality and man-machine dialogue nature. Focus on human-computer interaction system based on the PC platform. The action in the process of human-computer interaction is based on KINECT customization. It optimizes action classification prediction effect and improves the efficiency of system actual fusion accuracy and real-time-efficiency.
出处
《电脑知识与技术》
2014年第9X期6469-6471,共3页
Computer Knowledge and Technology
关键词
KINECT
人机交互
动作识别
KINECT,Human-computer interaction,Motion recognition
