J. Edward Swan II

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> 
}, 
}