With the modern computing systems becoming more and more complex, simple ways of interaction with the end user are being researched. Various approaches are being explored including hand and palm gestures, retinal tracking and even brain waves measurements. While the later require special equipment to implement, the former can be accomplished using a simple camera, making it a preferred cost / performance solution.
Human – Computer gesture based interaction has the potential to speed-up work process, provide better user experience and simplify otherwise complicated tasks. Since each user is different by nature the input produced, while implying the same gesture can actually be very different from user to user.

In this project we employ a new technology to solve the aforementioned issue. We use an innovative range + video sensor developed by 3DV Systems. The sensors provide the standard RGB video information with additional range information from the camera to the observed objects. The range data allows us to considerably enhance the identification of separate fingers, which is almost impossible with the standard RGB technologies.

1. Supervisor:
   Michael Kolomnkin
   Phone: 04-8295741
   Email: cgm_lab@ee.technion.ac.il
2. Field:
   Computer Graphics in 3-Dimensions
3. Requirements:
   C++/Matlab Programming, Image Processing.
   
4. Project status:
   Taken by the students Maxim Fudim and Oleg Schtofenmaher
5. Visit:
   Project web site