Study of Coordinated Motions of the Human Hand for Robotic Applications

摘要：

This paper presents an acquisition method that comprehensively looks for the mimic configurations of the human hand. The data obtained through this process is further analyzed, transformed, and then used to synthesize a reduced configuration space of a robot anthropomorphic hand. The method rely on a dimensionality reduction technique that provides a new basis of the full configuration space, from which one can select a subset of the vectors forming that basis, and finally obtaining a simpler configuration subspace. These vectors are called Principal Motion Directions, and represent the coordinated motions captured by a sensorized glove on a human hand and transferred to the robot hand. The characteristics and limitations of the subspace are discussed, as well as its application in several scenarios within robotics such as the motion planning of robot hands, where the subspace has been successfully implemented and executed.

关键词： hands motion capture configuration space principle component analysis (PCA)

作者: Shao-Chun Sun Carlos Rosales Raúl Suárez

作者单位: National Lab of Mechatronic Engineering and Control Beijing Institute of Technology Beijing,100081,C Institute of Industrial and Control Engineering Universitat Politècnica de Catalunya Barcelona,Catal

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）