ElenaRyumina/face_emotion_recognition

Static and dynamic facial emotion recognition using the Emo-AffectNet model

 

This is Emo-AffectNet model for facial emotion recognition by videos / images.

To see the emotion detected by webcam, you should run `run_webcam`. Webcam result:

<p align="center"> <img width="50%" src="https://github.com/ElenaRyumina/EMO-AffectNetModel/blob/main/gif/result_2.gif?raw=true" alt="result"/> </p>

For more information see GitHub.

Citation

If you are using EMO-AffectNet model in your research, please consider to cite research paper. Here is an example of BibTeX entry:

<div class="highlight highlight-text-bibtex notranslate position-relative overflow-auto" dir="auto"><pre><span class="pl-k">@article</span>{<span class="pl-en">RYUMINA2022</span>, <span class="pl-s">title</span> = <span class="pl-s"><span class="pl-pds">{</span>In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study<span class="pl-pds">}</span></span>, <span class="pl-s">author</span> = <span class="pl-s"><span class="pl-pds">{</span>Elena Ryumina and Denis Dresvyanskiy and Alexey Karpov<span class="pl-pds">}</span></span>, <span class="pl-s">journal</span> = <span class="pl-s"><span class="pl-pds">{</span>Neurocomputing<span class="pl-pds">}</span></span>, <span class="pl-s">year</span> = <span class="pl-s"><span class="pl-pds">{</span>2022<span class="pl-pds">}</span></span>, <span class="pl-s">doi</span> = <span class="pl-s"><span class="pl-pds">{</span>10.1016/j.neucom.2022.10.013<span class="pl-pds">}</span></span>, <span class="pl-s">url</span> = <span class="pl-s"><span class="pl-pds">{</span>https://www.sciencedirect.com/science/article/pii/S0925231222012656<span class="pl-pds">}</span></span>, }</div>