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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



A simple and effective source code for Hand Gesture Recognition System.



Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.

Release
Date
Major features
1.0

2014.02.15



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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).

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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Luigi Rosa
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Via Pozzo Strada 5 10139 Torino Italy
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Poste Italiane
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Viale Europa 190 00144 Roma Italy
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IT-50-V-07601-03600-000058177916
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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.

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