Fraunhofer IDMT
 
 
 Fraunhofer-Gesellschaft
   
 Department Cluster Audio/Multimedia

 

GestureID

By using hand signals and gestures people from all over the world can communicate without sharing a common language. GestureID is going to enable that kind of communication between human and machine, based on a method of optical pattern recognition. The system automatically recognizes different hand signals allowing the control of video conferencing systems or machines.

GestureID

 

Contact:
Valiantsin Hardzeyeu

 
Product Information:
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Industriepreis 2008

INDUSTRIEPREIS 2008
award in the category research for an innovative and particular interesting product

The Fraunhofer Institute for Digital Media Technology IDMT introduces a new method for human-machine-interaction involving the bio-inspired approach for the gesture recognition.
The newly developed software program perceives human gestures in real-time and consequently reacts on them.

The GestureID technology is based on the object-recognition algorithms. These algorithms have been developed on basis of the in-depth study of the human visual perceptions mechanisms. On the early stages the preprocessing algorithms filter out all necessary information on a given visual scene, localize the gesture and pass the information to the recognition module. The recognition module analyzes a given gesture and generates the reaction on it. After that the system interacts with the user by showing the recognition results.

The GestureID technology, a new method of interacting with machines, can help to make the everyday life more comfortable. Along with eye-tracking systems, the GestureID technology is useful to assist people with different disabilities, e.g. by replacing the mouse and keyboard of the computer. Being integrated in modern video conferencing systems the technology allows to realize the interaction process via hand signal easily´and in the automotive industry sector GestureID will assist you to interact with the navigation system, the radio or climate control system while driving the car.

 


© 2009
Fraunhofer IDMT