ZoomTouch: Multi-User Remote Robot Control in Zoom by DNN-based Gesture Recognition
Ilya Zakharkin, Arman Tsaturyan, Miguel Altamirano-Cabrera, Jonathan, Tirado, Dzmitry Tsetserukou

TL;DR
ZoomTouch enables real-time multi-user remote robot control via Zoom using DNN-based gesture recognition, facilitating collaborative manipulation and interaction in various remote scenarios including medical testing and design.
Contribution
Introduces a novel system for multi-user remote robot control through Zoom with gesture recognition, expanding remote collaboration capabilities.
Findings
Real-time multi-user control achieved
Effective DNN-based gesture recognition demonstrated
Potential applications in medical and collaborative tasks
Abstract
We present ZoomTouch - a breakthrough technology for multi-user control of robot from Zoom in real-time by DNN-based gesture recognition. The users from digital world can have a video conferencing and manipulate the robot to make the dexterous manipulations with tangible objects. As the scenario, we proposed the remote COVID-19 test Laboratory to considerably reduce the time to receive the data and substitute medical assistant working in protective gear in close proximity with infected cells. The proposed technology suggests a new type of reality, where multi-users can jointly interact with remote object, e.g. make a new building design, joint cooking in robotic kitchen, etc, and discuss/modify the results at the same time.
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