Hand Gesture Recognition and Fingers Detection (Graduation Project)
Damascus University , year:
Description: Detect and recognize the hand, hand gesture and fingers gestures using a depth sensor (Kinect) and relying on Computer Vision and Machine Learning algorithms. As applications, one can interact with a map and play on a virtual piano.
Technologies and languages: mainly programmed in the .NET framework (C#) using many libraries like openCV, Emgu, Aforge and Weka.
Man power: 3 students for 6 months.
Average ratings is 95 out of 100. (Highest note)