论文标题
ZoomTouch：基于DNN的手势识别的多用户远程机器人控制
ZoomTouch: Multi-User Remote Robot Control in Zoom by DNN-based Gesture Recognition
论文作者
论文摘要
我们提出了ZoomTouch-一项突破性技术，可实时通过DNN基于DNN的手势识别来实时对Zoom的多用户控制。来自数字世界的用户可以进行视频会议并操纵机器人，以使具有切实物体的灵巧操作。在这种情况下，我们提出了远程COVID-19测试实验室，以大大减少接收数据的时间，并替代与受感染细胞密切相近保护齿轮的医疗助理。提出的技术提出了一种新型的现实，多用户可以在其中与远程对象共同互动，例如在机器人厨房中进行新的建筑设计，联合烹饪等，并同时讨论/修改结果。
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.
