期刊文献+

面向人机工程学测试的虚拟手仿真模型 被引量:5

Virtual Hand Simulation Model for Ergonomics Test
下载PDF
导出
摘要 以人机工程学测试为目标提出虚拟手仿真模型,建立虚拟手运动学模型。提出一种曲线拟合的校准方法,以获取精确的数据,更好地控制虚拟手的运动。建立弹簧模型计算手与被抓取物体之间的受力,以视觉渲染的形式将其反馈给用户。实验结果表明,虚拟手可自然地抓取三维虚拟物体,视觉反馈的使用可免于购买昂贵的力反馈设备。 Aiming at ergonomics test, a virtual hand simulation model is presented. A virtual hand kinematic model is established, and a new calibration method based on curve fitting is presented in order to gain accurate data to well control the motion of the virtual hand. The grasping force between virtual hand and grasped object is calculated through the establishment of hand spring model, and the feedback of this force is in the form of visual rendering to the users. Experimental results show that virtual hand can grasp 3D object naturally and the use of visual feedback avoids the purchase of expensive force feedback devices.
出处 《计算机工程》 CAS CSCD 北大核心 2009年第19期10-12,共3页 Computer Engineering
基金 天津市科技攻关计划基金资助项目(06YFGZGX06200) 天津市应用基础及前沿技术研究计划基金资助项目(08JCYBJC14300)
关键词 虚拟现实 虚拟手 碰撞检测 数据手套 人机工程学 virtual reality virtual hand collision detection data glove ergonomics
  • 相关文献

参考文献5

  • 1Wan Huagen, Luo Yang. Realistic Virtual Hand Modeling with Applications for Virtual Grasping[C]//Proceedings of the 2004 ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry. Los Angeles, USA: [s. n.], 2004.
  • 2Sanso R M, Thalmann D. A Hand Control and Automatic Grasping System for Synthetic Actors[J]. Computer Graphics Forum, 1994, 13(3): 167-177.
  • 3杨锋,袁修干.基于舒适度最大化的人体运动控制[J].计算机辅助设计与图形学学报,2005,17(2):267-272. 被引量:14
  • 4Rijpkema H, Girard M. Computer Animation of Knowledge-based Human Grasping[J]. Computer Graphics, 1991, 25(4): 339-348.
  • 5Borst C W, Indugula A P. Realistic Virtual Grasping[C]//Proceedings of Conf. on Virtual Reality. Bonn, Germany: IEEE Press, 2005.

二级参考文献9

  • 1Ayoub M M. A 2-D simulation model for lifting activities [J].Computers Industry Engineering, 1998, 35(3): 619~622
  • 2Lo J. Recursive dynamics and optimal control techniques for human motion planning [D]. Philadelphia: University of Pennsylvania, 1998
  • 3Girard M, Macieijews K. Computational modeling for the computer animation of legged figures [J]. Computer Graphics,1985, 19(3): 263~268
  • 4Tolani D, Goswami A, Badler N I. Real-time inverse kinematics techniques for anthropomorphic limbs [J]. Graphical Model,2000, 62(5): 353~388
  • 5Wihelms J. Using dynamics analysis for animation of articulated bodies [J]. IEEE Computer Graphics & Applications, 1987, 7(6): 12~17
  • 6Flash T, Hogan N. The coordination of arm movements: An experimentally confirmed mathematical model [J]. The Journal of Neuroscience, 1985, 5(7): 1688~1703
  • 7Lee P, Wei S, Zhao J M, et al. Strength guided motion [J] .Computer Graphics, 1990, 24(4): 253~262
  • 8Pandya A K, Hasson S M. Correlation and prediction of dynamic human isolated joint strength from lean body mass [R] . Beijing:Beijing University of Aeronautics and Astronautics, 1992
  • 9Rosenthal D E, Sherman M A. High performance multibody simulations via symbolic equation manipulation and Kane's method [J]. The Journal of the Astronautical Sciences, 1986,34(3) : 223~239

共引文献13

同被引文献45

引证文献5

二级引证文献11

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