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Software Installation & Testing

Nach dem ich die Software OpenCV und HandVU nach der Installationsanleitung installiert habe, war der nächste Schritt, das Testen der Software.
Hierzu sollte zunächst, the webcam connected. The webcam should have a resolution of 320x240 pixels or higher resolution. connected

After the WebCam is, the program can be started HandVU_OpenCV.
After starting the software that displays the camera image and a rectangle in which the hand must be positioned until the hand is detected.
One should be the back of the hand, right hand, place it on the rectangle, since the hand position is best detected.



be seen in the other pictures, as should be the right hand position, the hand gesture recognition zu gewährleisten:

Man sollte auf gute Lichtverhältnisse im Raum achten.
Der Raum darf weder zu dunkel, noch zu hell sein. Durch Sonnenschein, wird beispielsweise, die Erkennung der Hand durch die WebCam beeinträchtigt.
Auch Hautfarbeähnliche Hintergründe sollte man vermeiden.
In meinen Tests habe ich festgestellt, dass beispielsweise helle Holztüren als Hintergrund, nicht für den Einsatz von HandVU geeignet sind.
Bei dunklen Hintergründen the hand was detected very quickly.

The hand is not detected until the large rectangle will disappear and be distributed to the recognized hand, white dots.
This is the big white dot, the center of the computational rectangle.

will now move at the back of the hand, the hand with the white dots followed.
Now they have turn the possibility of the hand by very fast to point the palms towards the camera.

It also has the ability to hand exchange with other objects. For example, I tried it with a cup of glass (and see picture). The object tracking of the cup has works very well.

ie not to say that the object can be used at start of HandVU. There must continue to be hand held in front of the webcam, until the palm is recognized.

The hand is also detected very well if people are moving in the background.

images of the test results:

Website:

http://www . movesinstitute.org / ~ Kolsch / HandVu / doc / index.html

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Current status and further proceedings

Summary

Using a USB camera and HandVU OpenCV is used to record hand movements and values determined by the x, y coordinates of the hand, the beams of the game "Pong" by hand movement controlled.

project plan by the end of term:

[1] Installation of the software HandVU & OpenCV
[2] testing the installed software
[3] analysis in OpenCV, HandVU and programming with C + +
[4] determine the hand position and to couple with the game "Pong"
[5] improve the performance any changes anpassen

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use of HandVU & OpenCV

Die Software HandVU, implementiert eine Sammlung Vision basierte Schnittstellen, für die Erkennung der Handgeste.
Bei der Erkennung der Handgeste, wird die Hand in Realzeit erkannt.
Das Softwarepaket von HandVU besteht aus den wichtigsten HandVU Bibliotheken und mehreren Anwendungen, die mit dem Einsatz von OpenCV ermöglicht wird.
Wie im vorherigen Beitrag schon vorgestellt, ist OpenCV eine
freie Bibliothek für Bilderkennung. Die Bibliothek enthält eine Vielzahl von nützlichen Algorithmen für Tracking, Segmentierung etc.

HandVU beruht auf einen Client-Server-Ansatz, die einen Hand-Gesten-Server zu Verfügung provides. has the world they are logged on that server, it receives for each image being edited by HandVU the camera Handkoordinate (x, y), and the current hand gesture.

An example use of HandVU, the hand gesture recognition for controlling a multimedia platform, developed by Philips Applied Technologies in Eindhoven, Netherlands. This is a hands-controlled 3D GUI.

an impression of this development, one can make the following link:

http://www.schroeder-wendt.com/blog/2006/09/25/diesmal-nix-zum-anfassen- hand-gesture recognition to control a multimedia-platform /

the use of HandVU, I find for the realization of the project as very appropriate, since in addition to the hand gesture recognition, the hand position as x, y coordinate is determined.
Since the gesture recognition lot of resources consumed, I will not be the function of gesture recognition to complete.

The determined x, y coordinate values from the hand position, I will with the
x, y coordinates of the paddle-couple from the game PONG, which will then be activated by hand movement in real time.

installation guide HandVU:

http://www.movesinstitute.org/ ~ Kolsch / HandVu / doc / InstallationWindows.html