基于激光传感器探测定位的人机互动系统研发与应用
[Abstract]:With the rapid development of science and technology, the application of human-computer interaction technology is becoming more and more mature, and its use is becoming more and more common. Nowadays, there are many kinds of technologies to realize interaction, and man-machine interaction is not only concerned with precise input and output, but also with the highly efficient natural interaction between machine and human. However, the current man-machine interaction system supports fewer interaction points, and the size of the interaction surface is also relatively small, which is only suitable for one or two people's interaction experience. At the same time, the interference noise produced by laser sensor motor has a great influence on man-machine interactive control system. In this paper, the human-computer interaction system based on laser sensor detection and positioning is designed to solve these problems. The original data with noise is filtered by zero-distance point filtering, dynamic adaptive filtering and so on. A human-computer interaction system based on 2-D laser sensor is designed, which breaks through the limitation of fewer interactive points and smaller size of interaction surface, and can be used for multi-person real-time interaction on large scale interactive surface. It has great application potential and can be widely used in many fields, such as product display interaction, museum display interaction and game entertainment interaction. The human-computer interaction system designed in this paper uses 2-D laser sensor as the core hardware, introduces the working principle and error analysis, uses C # language to program, realizes hardware control, data transmission and communication. Data processing and other several functional modules, and connected to a set of control software. In this paper, a comprehensive filtering algorithm for system noise is proposed. The original data with noise is preprocessed by zero-distance point filtering and dynamic adaptive filtering, and then the pre-processed data is filtered by adaptive threshold nearest neighbor clustering. The contrast test between conventional weighted filter and synthetic filter is carried out. A large number of experiments show that the integrated filtering algorithm can effectively filter noise, improve the accuracy of interactive point tracking and positioning, and can run in real time, greatly improving the interactive experience effect. Through the Ventuz 3D editing software, the interactive display content is designed and played, and the user can carry on the active interactive experience on the interactive screen. The human-computer interaction system proposed in this paper has been successfully applied to the intelligent medical center of Zhangjiagang people's Hospital. After the installation of the interactive screen and the debugging of the man-machine interactive system, the system is running stably and the effect of multi-person real-time interaction is good. The successful implementation of the project shows that the human-computer interaction system designed in this paper has a wide application prospect, can realize man-machine interaction on a large screen, and supports real-time interaction of multiple users and active dissemination of information. Make man-machine interaction more efficient and natural, more entertainment, advertising and humanization.
【学位授予单位】:苏州大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TP11;TP212
【相似文献】
相关期刊论文 前10条
1 王滨;控制熔体水平的激光传感器[J];轻合金加工技术;1996年07期
2 清河;角控和线控的激光传感器[J];激光与光电子学进展;1997年07期
3 季叶克;非多普勒激光传感器测量风速[J];激光与光电子学进展;1997年09期
4 赵继聪;周盼;秦魏;;激光传感器原理及其应用[J];科技致富向导;2011年09期
5 尹光杰;滕国兴;;激光传感器在轮胎工业中的应用[J];机电工程技术;2006年05期
6 宋永刚;郝飞;王海鸣;;激光传感器在工程机械中的应用[J];建筑机械;2007年17期
7 孙芹;激光传感器在高炉操作和控制中的应用[J];武钢技术;1995年12期
8 Stephen Petronio;常嘉佳;;激光传感器[J];软件;2007年05期
9 李丽宏;邢桂甲;李晓林;;激光传感器在车辆宽高超限检测中的应用[J];电子设计工程;2011年10期
10 解菁;高宏堂;叶孝佑;李东升;陈自章;;提高激光传感器用于现场校准装置精度的研究[J];光学技术;2012年04期
相关博士学位论文 前1条
1 谭彦楠;偏振外差法光纤光栅激光传感器技术[D];大连理工大学;2012年
相关硕士学位论文 前9条
1 李莹;基于激光传感器的列车轮缘在线检测系统[D];哈尔滨工业大学;2015年
2 唐小平;基于相关算法的激光传感器车辆长高检测系统的研究与设计[D];太原理工大学;2012年
3 朱云龙;基于激光传感器探测定位的人机互动系统研发与应用[D];苏州大学;2016年
4 Bouhalais Kamel(超凡);车辆自动检测与分类研究使用激光传感器[D];哈尔滨工程大学;2011年
5 郑芳;基于视觉的激光传感器标定算法研究[D];国防科学技术大学;2005年
6 黄潇苹;激光传感器位移测量精度分析及不确定度评定[D];大连理工大学;2012年
7 陈晨;基于激光传感器的在航船舶流量检测技术研究[D];武汉理工大学;2009年
8 刘鹏举;基于二维激光传感器的在航船舶特征识别系统[D];南京理工大学;2012年
9 谢国红;基于CCD激光传感器液位高精度检测系统的研究[D];长春理工大学;2011年
,本文编号:2289163
本文链接:https://www.wllwen.com/wenyilunwen/guanggaoshejilunwen/2289163.html