A real-time human-robot interaction framework with robust background invariant hand gesture detection

Volume: 60, Pages: 34 - 48
Published: Dec 1, 2019
Abstract
In the light of factories of the future, to ensure productive and safe interaction between robot and human coworkers, it is imperative that the robot extracts the essential information of the coworker. We address this by designing a reliable framework for real-time safe human-robot collaboration, using static hand gestures and 3D skeleton extraction. OpenPose library is integrated with Microsoft Kinect V2, to obtain a 3D estimation of the human...
Paper Details
Title
A real-time human-robot interaction framework with robust background invariant hand gesture detection
Published Date
Dec 1, 2019
Volume
60
Pages
34 - 48
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