# Publications

# Publications from the Community

Pupil Labs products are being used in various areas of academic research and hundreds of publications have been made with them. You can find a list containing most of the existing publications here.

If you are using Pupil Invisible in your own research, please cite the following paper in your publications!

A High-Level Description and Performance Evaluation of Pupil Invisible

BibTeX Style Citation

@article{tonsen2020high,
  title={A High-Level Description and Performance Evaluation of Pupil Invisible},
  author={Tonsen, Marc and Baumann, Chris Kay and Dierkes, Kai},
  journal={arXiv preprint arXiv:2009.00508},
  year={2020}
}

For guidance on citing Pupil Core please see here.

When citing Pupil Invisible in your publications, you may want to report the neural network version you are using. You can find this information in the info.json file, under pipeline_version.

# Publications from Pupil Labs

Pupil Labs has published several papers including white papers as well as peer-reviewed papers on eye tracking algorithms. Below they are listed chronologically:

# Pupil: an open source platform for pervasive eye tracking and mobile gaze-based interaction

# A novel approach to single camera, glint-free 3D eye model fitting including corneal refraction

# A fast approach to refraction-aware eye-model fitting and gaze prediction

# A High-Level Description and Performance Evaluation of Pupil Invisible

# Gaze-angle dependency of pupil-size measurements in head-mounted eye tracking