Evaluation of Hand and Stylus Based Calibration for Optical See-Through Head-Mounted Displays Using Leap Motion
Kenneth R. Moser and J. Edward Swan II. Evaluation of Hand and Stylus Based Calibration for Optical See-Through Head-Mounted Displays Using Leap Motion. In Poster Abstracts, IEEE International Conference on Virtual Reality (IEEE VR 2016), pp. 233–234, Mar 2016. DOI: 10.1109/VR.2016.7504739.
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Abstract
Next generation OST HMDs promise the inclusion of a variety of integrated and on-board sensors. In particular, hand tracking cameras, such as the Leap Motion, show potential for facilitating intuitive OST calibration procedures accessible to researchers, developers, and novice users alike. In this work, we evaluate hand and stylus based OST calibration utilizing tracking data from a Leap Motion. Our findings show that performance of both methods is comparable to results from prior studies using standard environment-centric methods. Also, while our hand based calibration improved through the use of more contextual reticle designs, calibrations performed with a stylus yielded the most accurate and precise results over all.
BibTeX
@InProceedings{IEEEVR16-lmp,
author = {Kenneth R. Moser and J. Edward {Swan~II}},
title = {Evaluation of Hand and Stylus Based Calibration for Optical
See-Through Head-Mounted Displays Using Leap Motion},
booktitle = {Poster Abstracts, IEEE International Conference on Virtual Reality
(IEEE VR 2016)},
location = {Clemson, South Carolina, USA},
date = {March 19--23},
month = {Mar},
year = 2016,
pages = {233--234},
note = {DOI: <a target="_blank"
href="https://doi.org/10.1109/VR.2016.7504739">10.1109/VR.2016.7504739</a>.},
abstract = {
<p>Next generation OST HMDs promise the inclusion of a variety of
integrated and on-board sensors. In particular, hand tracking cameras, such
as the Leap Motion, show potential for facilitating intuitive OST
calibration procedures accessible to researchers, developers, and novice
users alike. In this work, we evaluate hand and stylus based OST
calibration utilizing tracking data from a Leap Motion. Our findings show
that performance of both methods is comparable to results from prior
studies using standard environment-centric methods. Also, while our hand
based calibration improved through the use of more contextual reticle
designs, calibrations performed with a stylus yielded the most accurate and
precise results over all.</p>
},
}