Robust Dataglove Mapping for Recording Human Hand Postures

被引：0

作者：

Steffen, Jan ^{[1
]}

Maycock, Jonathan ^{[1
]}

Ritter, Helge ^{[1
]}

机构：

[1] Univ Bielefeld, Fac Technol, Neuroinformat Grp, D-33615 Bielefeld, Germany

来源：

INTELLIGENT ROBOTICS AND APPLICATIONS, PT II | 2011年 / 7102卷

关键词：

ROTATION; AXES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a novel dataglove mapping technique based on parameterisable models that handle both the cross coupled sensors of the fingers and thumb, and the under-specified abduction sensors for the fingers. Our focus is on realistically reproducing the posture of the hand as a whole, rather than on accurate fingertip positions. The method proposed in this paper is a vision-free, object free, data glove mapping and calibration method that has been successfully used in robot manipulation tasks.

引用

页码：34 / 45

页数：12

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