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Intelligent Engineering Systems through Artificial Neural Networks Volume 18Available to Purchase
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

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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