ML Anthology

Feasibility Analysis of Eye Typing with a Standard Webcam

Yi Liu, Bu-Sung Lee, Andrzej Sluzek, Deepu Rajan, Martin J. McKeown
ECCVW 2016 pp. 254-268
doi:10.1007/978-3-319-48881-3_18 /eccvw/2016/liu2016eccvw-feasibility/

Abstract

With the development of assistive technology, eye typing has become an alternative form of text entry for physically challenged people with severe motor disabilities. However, additional eye-tracking devices need to be used to track eye movements which is inconvenient in some cases. In this paper, we propose an appearance-based method to estimate the person’s gaze point using a webcam, and also investigate some practical issues of the method. The experimental results demonstrate the feasibility of eye typing using the proposed method.

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Cite

Text

Liu et al. "Feasibility Analysis of Eye Typing with a Standard Webcam." European Conference on Computer Vision Workshops, 2016. doi:10.1007/978-3-319-48881-3_18

Markdown

[Liu et al. "Feasibility Analysis of Eye Typing with a Standard Webcam." European Conference on Computer Vision Workshops, 2016.](https://mlanthology.org/eccvw/2016/liu2016eccvw-feasibility/) doi:10.1007/978-3-319-48881-3_18

BibTeX

@inproceedings{liu2016eccvw-feasibility,
  title     = {{Feasibility Analysis of Eye Typing with a Standard Webcam}},
  author    = {Liu, Yi and Lee, Bu-Sung and Sluzek, Andrzej and Rajan, Deepu and McKeown, Martin J.},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2016},
  pages     = {254-268},
  doi       = {10.1007/978-3-319-48881-3_18},
  url       = {https://mlanthology.org/eccvw/2016/liu2016eccvw-feasibility/}
}