A standalone software for real-time facial analysis in online conferences and e-lessons

Nowadays, many meetings, lessons, conferences, and presentations are organized online, where it is complicated to communicate with an audience and control their engagement and emotions. In this article, we present a novel C++ application that is led to help estimate facial identities and expressions. It captures a screen with a window of an arbitrary online conference tool. Next, facial regions are detected, and two efficient neural networks are used to identify a participant of an online event, track his or her face, predict emotional state, and provide a log with timestamps and facial expressions of each person.