Webcam based Gaze Estimation

Estimate gaze on computer screen

Installation Guidelines

• Set Up Python Virtual Environment

  Create a virtual Python environment to avoid dependency conflicts. To create a virtual environment (Python 3.8), use the following command or create a virtual environment with Anaconda navigator:

    conda create --name <env_name> python=3.8
  

• Activate Virtual Environment

  Activate the newly created Python virtual environment by issuing this command:

    conda activate <env_name>
  

• Set Up and Update PIP to the Highest Version

  Make sure pip is installed in your environment and upgrade it to the latest version by issuing the following command:

    python -m pip install --upgrade pip
  

• Install the Package

  To install OpenVINO Development Tools into the existing environment with the deep learning framework of your choice, run the following command:

    pip install openvino-dev
    pip install -r requirements.txt or conda install --file requirements.txt
  

  Additionally to OpenVino we added the demo programm from pl_gaze_estimation (https://github.com/hysts/pytorch_mpiigaze_demo), training code for the pl_gaze_estimation using MPIIGaze, MPIIFaceGaze, and ETH-XGaze are available under: https://github.com/hysts/pl_gaze_estimation/tree/main

  This model however, runs beter under Ubuntu, but it was tested under Windows as well. To use the pl_gaze_estimation model run:

    pip install -r requirements_pl_gaze.txt
  

• Copy the file openh264-1.8.0-win64.dll into the environment path (e.g. C:\Anaconda3\envs\name_of_env)

• run main.py to test the application with the OpenVino model

• run main_pl.py to test the application with the pl_gaze_estimation model (https://github.com/hysts/pytorch_mpiigaze_demo)

• in order to run main_compareWithTobii.py you need to generate a exe file that runs Tobii Eye Tracker 5, for this you need the sdk dll for Tobii Eye Tracker 5

Credits

If you use the code in the academic context, please cite:

Lucas Falch and Katrin Solveig Lohan, "Webcam-based gaze estimation for computer screen interaction", Frontiers in Robotics and AI, Volume 11 - 2024 | https://doi.org/10.3389/frobt.2024.1369566