Real-Time Hand Posture Estimation with LVQ Using Higher-Order Local Autocorrelation Features


The more friendly communication can be promoted between the human and computer if the function of gesture recognition is implemented to the computer system as the input interface along with the keyboards and mice. For the user to use the mouse device, the user must be able to touch the equipment directly with the provided mouse. Therefore, the area of the operation which the mouse equipment could be freely used is limited. In general, a mouse device is comprised of pointing and switch systems. If it is possible to replace the system on a nontuch device, there would be no need to consider the kind of limitation which a mouse device has. In this paper, we propose a mouse-like function for estimating hand shape from input images with a monocular camera, with which a computer user feels no restraint or awkwardness.

  • Abstract
  • 1. Introduction
  • 2. Gesture Recognition Algorithm
  • 3. Extraction of Hand Region
  • 4. Log Polar Mapped Image
  • 5. Estimation of Hand Shape
  • 6. Gesture Estimation
  • 7. Conclusions
  • References

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