Visual-fidelity dataglove calibration
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Abstract
This paper presents a novel calibration method for datagloves with many
degrees of freedom
(Gloves that measure at least 2 flexes per finger plus
abduction/adduction, eg. Immersion's Cyberglove).
The goal of our method is to establish a mapping from the sensor values of
the glove to the joint angles of an articulated hand that is of
"high visual" fidelity.
This is in contrast to previous methods that aim at determining
the absolute values of the real joint angles with high accuracy.
The advantage of our method is that it can be simply carried through
without
the need for auxiliary calibration hardware (such as cameras), while still
producing visually correct mappings.
To achieve this, we developed a method that explicitly models the
cross-couplings of the abduction sensors with the neighboring flex sensors.
The results show that our method performs superior to linear
calibration in most cases.
BibTeX entry
@INPROCEEDINGS{Zach04b,
author = "Ferenc Kahlesz and Gabriel Zachmann and Reinhard Klein",
title = "Visual-fidelity dataglove calibration",
booktitle = "Computer Graphics International (CGI)",
year = "2004",
month = jun # "16--19",
lublisher = "IEEE Computer Society Press",
keywords = "normal orientation, mesh repair, visibility,
patch connectivity, modelling",
address = "Crete, Greece",
url = "http://www.gabrielzachmann.org/"
}
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Last modified:
Sat Sep 10 15:53:56 MDT 2005