Shape Matching Based Real-Coded Genetic Algorithm for Grasping Construction

摘要：

Data Glove is widely used in the area of Human Computer Interaction (HCI).Resulting from the complicated architecture of human hand and limited precision of peripheral equipment,the errors for sensor’s output must be calibrated.A tempting solution to overcome this issue would be to use external sensors or construct manually to provide the ground-truth data to handle the calibration.The drawbacks of these approaches are tedious calibration procedures and lack of automation.The work described in this paper provides a method for grasping construction,which is based on Real-Coded Generic Algorithm and Shape Matching theory.This approach has the advantage that it does not require any special outer device and can be implemented automatically.

作者: Bin Wang Shuling Dai

会议类型: 国际会议

会议名称: Asia Simulation Conference 2008/the 7th International Conference on System Simulation and Scientific Computing(2008亚洲仿真会议/第七届系统仿真和科学计算国际会议)(ICSC2008)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-10（万方平台首次上网日期，不代表论文的发表时间）