2011 | OriginalPaper | Buchkapitel
Robust Dataglove Mapping for Recording Human Hand Postures
verfasst von : Jan Steffen, Jonathan Maycock, Helge Ritter
Erschienen in: Intelligent Robotics and Applications
Verlag: 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.