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Human-Computer Natur al User Inter face Based on Hand Motion Detection and Tracking

  • Xu, Wenkai (Dept. of Information Communication Engineering, Tongmyong University) ;
  • Lee, Eung-Joo (Dept. of Information Communication Engineering, Tongmyong University)
  • Received : 2011.03.23
  • Accepted : 2011.06.01
  • Published : 2012.04.30

Abstract

Human body motion is a non-verbal part for interaction or movement that can be used to involves real world and virtual world. In this paper, we explain a study on natural user interface (NUI) in human hand motion recognition using RGB color information and depth information by Kinect camera from Microsoft Corporation. To achieve the goal, hand tracking and gesture recognition have no major dependencies of the work environment, lighting or users' skin color, libraries of particular use for natural interaction and Kinect device, which serves to provide RGB images of the environment and the depth map of the scene were used. An improved Camshift tracking algorithm is used to tracking hand motion, the experimental results show out it has better performance than Camshift algorithm, and it has higher stability and accuracy as well.

Acknowledgement

Supported by : NIPA

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Cited by

  1. NUI framework based on real-time head pose estimation and hand gesture recognition vol.56, 2016, https://doi.org/10.1051/matecconf/20165602011