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2011 | OriginalPaper | Chapter

Robust Dataglove Mapping for Recording Human Hand Postures

Authors: Jan Steffen, Jonathan Maycock, Helge Ritter

Published in: Intelligent Robotics and Applications

Publisher: Springer Berlin Heidelberg

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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.

Metadata
Title
Robust Dataglove Mapping for Recording Human Hand Postures
Authors
Jan Steffen
Jonathan Maycock
Helge Ritter
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-25489-5_4

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