Virtual Meeting System Architecture with Gesture Control, Attentiveness Tracker and Automatic Attendance Recording

Abstract

As a result of the COVID-19 global pandemic and its concerned lockdown policies, a number of activities have been forced to shift from traditional physical modes to a complete online distanced virtual mode. This has demanded education, offices, conferences and social meets, among others to abruptly adopt virtual communication tools and online meeting platforms. Here, we present a hybrid system architecture with functionalities to enhance the experience of an online virtual meeting. We focus on improving usability through automation provided by Artificial Intelligence and Computer Vision. Our study not only depicts the important pipelines to support current remote experiences in this pandemic but also provides a foundation towards building these systems in a more adaptive and interactive manner for the future even after the pandemic.