Face-to-face interaction analysis

Representative examples using scripts developed for the analysis made for the manuscript:

Thorsson, M., Galazka, M.A., Åsberg Johnels, J. Hadjikhani, N. A novel end-to-end dual-camera system for eye gaze synchrony assessment in face-to-face interaction. Atten Percept Psychophys (2023). https://doi.org/10.3758/s13414-023-02679-4

The responsory features:

• Time-lagged cross-correlation
• Face plane correction using affine transformation

How to use

To view Jupyter Notebook files, simply click them. Download responsory and excecute through Jupyter Notebook.

Citation

On top of the conditions stipulated in the software license (see the LICENSE file), you are kindly asked to cite our manuscript if you make use of this code in any academic context.

Shield:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.