期刊文献+

基于Kinect骨骼信息的机械臂体感交互系统的设计与实现 被引量:27

DESIGN AND IMPLEMENTATION OF ROBOT ARM SOMATOSENSORY INTERACTION SYSTEM BASED ON KINECT SKELETAL INFORMATION
下载PDF
导出
摘要 提出一种基于人体骨骼信息的机械臂体感交互方式。首先利用Kinect传感器获取图像景深数据,并通过骨骼追踪技术处理景深数据,以匹配人体的各个部分,进而建立人体各个关节的3D坐标。然后利用3D坐标值计算出人体腰、肩、肘和腕4个关节的转动角度,人体的这4个关节与四自由度机械臂的4个关节一一对应。最后将计算结果转换成控制指令通过串口发送给机械臂的控制器,实现体感交互。实验表明,该方法能够有效地控制机械臂的转动以及抓取物件。 In the paper we present a robot arm somatosensory interaction manner based on the human skeletal information.First,we use Kinect sensor to capture image depth of field data,and deal with the data by skeletal tracking technology to match various parts of the human body followed by further establishing the 3D coordinates of every joint of human body.Then,we utilise the 3D coordinates to calculate the rotation angle of human waist,shoulder,elbow and wrist joints.These four joints of human body are in one-to-one correspondence with the four joints of 4-DOF robot arm.Finally,we transform the calculation results to control commands and sent them to controller of the robot arm by serial ports to realise somatosensory interaction.Experimental results show that the method can effectively control the robot arm to rotate and grab objects.
出处 《计算机应用与软件》 CSCD 北大核心 2013年第2期157-160,176,共5页 Computer Applications and Software
基金 科技部国际合作项目(2010DFA12160) 重庆市科技攻关项目(CSTC 2010AA2055)
关键词 KINECT 骨骼信息 机械臂 Kinect Skeletal information Robot arm
  • 相关文献

参考文献2

二级参考文献11

  • 1刘进,张天序.图像不变矩的推广[J].计算机学报,2004,27(5):668-674. 被引量:47
  • 2Van den Bergh M, Van Gool L. Combining RGB and ToF cameras for real-time 3D hand gesture interaction[C]//IEEE Workshop on Application of Computer Vision. Piscataway, N J, USA: IEEE, 2011: 66-72. 被引量:1
  • 3Pang Y Y, Ismail N A, Gilbert P L S. A real time vision-based hand gesture interaction[C]//4th Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation. Piscataway, NJ, USA: IEEE, 2010: 237-242. 被引量:1
  • 4Kao M C, Li T H S. Design and implementation of interaction system between humanoid robot and human hand gesture[C]//Proceeding of SICE Annual Conference. Piscataway, NJ, USA: IEEE, 2010: 1616-1621. 被引量:1
  • 5Lee S, Choi J, Oh S, et al. A real-time 3D IR camera based on hierarchical orthogonal coding[C]//IEEE International Conference on Robotics and Automation. Piscataway, NJ, USA: IEEE, 2006: 2035-2040. 被引量:1
  • 6Huang J, Ma Z, Hu Y, et al. Robotic 3D structured light scanning system based on external axle[C]//International Conference on Intelligent Computation Technology and Automation. Piscataway, NJ, USA: IEEE, 2008:1126-1129. 被引量:1
  • 7Hu M K. Visual pattem recognition by moment invariants[J]. IRE Transactions on Information Theory, 1962, 8(2): 179-187. 被引量:1
  • 8Murthy G R S, Jadon R S. Hand gesture recognition using neural networks[C]//2nd International Advance Computing Conference. Piscataway, NJ, USA: IEEE, 2010: 134-138. 被引量:1
  • 9孙增圻,张再兴,邓志东.智能控制理论与技术[M].北京:清华大学出版社,2004.54-131. 被引量:18
  • 10陈垦,杨向东,刘莉,等.机器人技术与应用[M].北京:清华大学出版社,2006. 被引量:2

共引文献78

同被引文献187

引证文献27

二级引证文献126

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部