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Enhance Robotics ability in Hand Gesture Recognition by Using Leap Motion Controller

  • Alaa Ahmed AlmarzuqiEmail author
  • Seyed Mohamed Buhari
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 2)

Abstract

Usage of intelligence in the interactions between human and robot is one of the significant topics in research. As an added assistance to human, robots are used to facilitate and assist human in many ways. Robots could be made to understand and recognize human gestures. Therefore, robots should be programmed to deal with certain gestures, that, the robots can identify and act accordingly. Our research aims to enhance the robot gesture recognition ability by using supported hand gesture detection device known as Leap Motion Controller (LMC). This research aims to expose the accuracy of hand gesture recognition using Leap Motion depth sensor to enhance intelligent system where human hand gestures are used to interact with robot in learning or gaming system.

Keywords

Sign Language Humanoid Robot Gesture Recognition Hand Gesture Kinect Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.King Abdulaziz UniversityJeddahSaudi Arabia

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