.: Click here to download :.
There are situations in which it is necessary to interact
with a system without touching it. The reasons include
dirty hands (when repairing a motor, for example), hygiene
(to indicate the desired water temperature when
washing hands in a public bathroom), and focus of attention
(not wishing to redirect the sight towards the
controls when operating delicate equipment or interacting
with an augmented-reality scenario). The use of
voice commands as an alternative to touch-based controls,
such as keyboards, buttons, and touch screens, requires
a quiet environment and natural language processing;
voice commands are, additionally, language-specific
and sensitive to dialects and to speech impediments.
Another alternative is remote control through
gesture recognition, also known as remote control "with
the wave of a hand". Common applications for this kind
of control involve medical systems -provide the user
sterility to avoid the spread of infections-, entertainment,
and human-robot interaction.
We have developed a fast and optimized algorithm for hand gesture recognition.
Our proposed hand-gesture detection algorithm works in real time, using
basic computer-vision techniques such as filters, border
detection, and convex-hull detection; in addition, it
only requires a standard webcam, does not need special
markers on the hand, can detect the hand regardless of
its position and orientation.
Index Terms: Matlab, source, code, hand, gesture, recognition, human, computer, interaction.
Figure 1. Hand gesture example |
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A simple and effective source code for Hand Gesture Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2014.02.15 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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Hand Gesture Recognition System - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 150 EUROS (less
than 210 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of Hand Gesture Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 2006a. Matlab Image Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.