public-projects/opengaze
1
0
Fork 0
Code Releases Wiki Activity
OpenGaze: Open Source Toolkit for Camera-Based Gaze Estimation and Interaction
1 commit 1 branch 0 tags 15 MiB
Find a file
Xucong Zhang e505acdb29 initial commit
2019-01-10 13:26:03 +01:00
caffe-layers initial commit 2019-01-10 13:26:03 +01:00
content initial commit 2019-01-10 13:26:03 +01:00
exe initial commit 2019-01-10 13:26:03 +01:00
imgs initial commit 2019-01-10 13:26:03 +01:00
include initial commit 2019-01-10 13:26:03 +01:00
pre-complile initial commit 2019-01-10 13:26:03 +01:00
src initial commit 2019-01-10 13:26:03 +01:00
.gitignore initial commit 2019-01-10 13:26:03 +01:00
CMakeLists.txt initial commit 2019-01-10 13:26:03 +01:00
default.cfg initial commit 2019-01-10 13:26:03 +01:00
download_models.sh initial commit 2019-01-10 13:26:03 +01:00
install.sh initial commit 2019-01-10 13:26:03 +01:00
README.md initial commit 2019-01-10 13:26:03 +01:00
RELEASE.md initial commit 2019-01-10 13:26:03 +01:00

README.md

OpenGaze: Open Source Toolkit for Camera-Based Gaze Estimation and Interaction

Appearance-based gaze estimation methods that only require an off-the-shelf camera have significantly improved and promise a wide range of new applications in gaze-based interaction and attentive user interfaces. However, these methods are not yet widely used in the human-computer interaction (HCI) community.

To democratize their use in HCI, we present OpenGaze, the first software toolkit that is specifically developed for gaze interface designers. OpenGaze is open source and aims to implement state-of-the-art methods for camera-based gaze estimation and interaction.

Functionality

The toolkit is capable of performing the following gaze-related tasks:

  • Gaze Estimation Show estimated gaze on the screen given screen-camera relationship.

Demo

 

  • Gaze Visualization Show gaze direction inital from the center of faces in the input image.

Demo

 

  • Personal Calibration Perform personal calibration and remapped the gaze target on the screen.

Demo

 

Installation

Unix Installation

Use

Command line arguments

Citation

If you use any of the resources provided on this page in any of your publications, please cite the following paper:

Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications?
Xucong Zhang, Yusuke Sugano, Andreas Bulling
Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2019

BibTex, PDF

License

The license agreement can be found in Copyright.txt

You have to respect boost, OpenFace and OpenCV licenses.

Furthermore, you have to respect the licenses of the datasets used for model training.