[1]杨雷坤[] [],李绪志[],王红飞[]. 基于手势识别技术的遥操作系统的设计与实现[J].计算机技术与发展,2015,25(09):1-5.
 YANG Lei-kun[] [],LI Xu-zhi[],WANG Hong-fei[]. Design and Implementation of Tele-operations System Based on Gesture Recognition Technology[J].,2015,25(09):1-5.
点击复制

 基于手势识别技术的遥操作系统的设计与实现()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年09期
页码:
1-5
栏目:
智能、算法、系统工程
出版日期:
2015-09-10

文章信息/Info

Title:
 Design and Implementation of Tele-operations System Based on Gesture Recognition Technology
文章编号:
1673-629X(2015)09-0001-05
作者:
 杨雷坤[1] [2]李绪志[1] 王红飞[1]
 1. 中国科学院 空间应用工程与技术中心;2.中国科学院大学
Author(s):
 YANG Lei-kun[1] [2]LI Xu-zhi[1] WANG Hong-fei[1]
关键词:
 遥操作Kinect手势识别隐马尔可夫模型
Keywords:
tele-operationKinectgesture recognitionHMM
分类号:
TP399
文献标志码:
A
摘要:
 传统的空间遥操作人机交互方式是通过鼠标、键盘等进行输入,操作者需要学习繁杂的输入规则,友好性差,缺乏沉浸感。随着我国空间探索任务的发展,很多科学实验通过遥操作的方式进行。用户对空间遥操作系统提出了更高的要求。针对这一问题,文中设计实现了基于手势识别技术的空间遥操作系统。利用微软Kinect摄像机进行手势提取,将手势建模为轨迹,以方向角作为手势特征,实现了模版识别和基于隐马尔可夫模型的识别算法,实现了对常用的六种空间遥操作手势的识别。实验结果表明,基于手势识别技术的空间遥操作系统,设备简单,手势输入准确率高,适合于空间遥操作应用。
Abstract:
 The traditional human-computer interaction of space tele-operation is via mouse and keyboard. The operators need to learn complex rules for operating,user friendly is poor and the sense of immersion is lacking. With the rapid development of Chinese space ex-ploration missions,many scientific experiments will be done by tele-operation. The user puts forward higher requirements for space tele-operation system. To solve the problem,design and realize the space tele-operation system based on gesture recognition. Make use of the Microsoft Kinect camera for gesture extraction,then moding gesture as trajectory,using direction angle as a gesture feature,realize the template recognition and recognition algorithm based on Hidden Markov model,achieving the recognition of six kinds of commonly used space tele-operation gesture. Experimental results show that the device of space tele-operation is simple and gesture accuracy is high,this system is suitable for space tele-operation applications.

相似文献/References:

[1]穆勇[],刘玉荣,阎镇.基于PLUTO的载荷遥操作地面控制平台设计[J].计算机技术与发展,2013,(04):159.
 MU Yong,LIU Yu-rong,YAN Zhen.Design of PLUTO Based Tele-operation Ground Control Platform[J].,2013,(09):159.
[2]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(09):1.
[3]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(09):5.
[4]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(09):13.
[5]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(09):21.
[6]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(09):25.
[7]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(09):29.
[8]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(09):34.
[9]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(09):38.
[10]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(09):43.

更新日期/Last Update: 2015-10-16