Real-time hand-tracking on video image based on palm geometry

There are various ways to make the interaction, interaction by using conversation or sign language that has been agreed before. Interaction with sign language especially that use a hand, is tried by people to be implemented to interact with the machine, in this case the machine is computer. In other that, to get the information, the computer must have the ability to track the hand that intended to express the information. This research about hand tracking based on geometry features, by using modified Competitive Hand Valley Detection (CHVD) algorithm to get the reference point. Then the image of the palm of the hand is given a marker on the reference point from mapping result for identifying the shape descriptor based active fingers. From the test results shows that, by using the angle parameter, the application can recognize the shape of the palm of the hand with an average accuracy of 74% in normal conditions, while in extreme conditions obtained an average accuracy of 16%. By using the parameter range, in normal conditions obtained an average accuracy of 2%, while in extreme conditions obtained an average accuracy of 8%. By merging these two parameters, the normal condition the average accuracy obtained 88%, while in extreme conditions obtained an average accuracy of 38%. In terms of speed, the application can run at speeds equivalent to 0.5966 fps 1.6762 seconds or the time it takes to process one frame.