Real-Time 3D Hand Gestures Recognition for Manipulation of Industrial Robots

Authors

  • Tudor Ioan Cerlinca Stefan cel Mare University of Suceava
  • S. G. Pentiuc Stefan cel Mare University of Suceava
  • V. Vlad Stefan cel Mare University of Suceava

DOI:

https://doi.org/10.5755/j01.eee.19.2.1329

Keywords:

Real time systems, algorithms, human robot interaction, gestures recognition

Abstract

This paper presents an innovative system for industrial robot manipulation through 3D hand gestures. The interaction between the human operator and the robotic system is done via a dynamically created 3D virtual environment which is a precise copy of the robot's real working environment. The virtual environment enhances the manipulation of different objects and the selection of the desired action, in a natural way, only though hand gestures. Unlike most of the HRI based systems, ours is not meant for moving the robot or its mobile arm from one place to another, but to perform a specific task comprising of a list of specific operations. This kind of interaction has an important advantage: it eliminates the dead-times which are specific to the direct-interaction based systems. The gesture recognition algorithm processes depth maps grabbed from a stereoscopic camera system and uses Dynamic Time Wrapping to compute the similarity between the hand trajectories acquired in real time and those from the gestures dictionary.

DOI: http://dx.doi.org/10.5755/j01.eee.19.2.1329

Author Biography

Tudor Ioan Cerlinca, Stefan cel Mare University of Suceava

PhD Lecturer - Computer Science Department, Faculty of Electrical Engineering and Computer Science

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Published

2013-01-28

How to Cite

Cerlinca, T. I., Pentiuc, S. G., & Vlad, V. (2013). Real-Time 3D Hand Gestures Recognition for Manipulation of Industrial Robots. Elektronika Ir Elektrotechnika, 19(2), 3-8. https://doi.org/10.5755/j01.eee.19.2.1329

Issue

Section

AUTOMATION, ROBOTICS