Real time emotion recognition during presentations by Artemii Frolov


Understanding of emotions during presentations could be very important for the presenter. It could be not only useful for him but also make presentations more interesting for the listeners.

In this talk, Artemii is presenting his solution, based on Amazon DeepLens, and using MTCNN and mini-Xception networks (with an explanation of how they work). He discusses visualization of the results and how to expand the solution for every mini-computer with a camera.

Topic was presented at Munich Datageeks – October Edition 2019


You can watch the recording of the presentation in our YouTube channel:


You can download the slides from SlideShare:

Real time emotion recognition during presentations – Artemii Frolov from IT Knowledge Bank


Artemii is a Master student at Technical University of Munich with a specialization in Data Science and Machine Learning. He has graduated in 2015 with an Engineering degree in Informatics and later worked on research and applied Data Science projects in Accenture, Data Reply and several Russian National Research Centers. His main research interests are Computer Vision and NLP.