Human Computer Interaction is the study how to design, evaluate, and implement computer systems interactive, the systems can make a dialogue with human. This research was designed and implementation leap motion used hand movements into digital models, which can be used to replace the function of the mouse or keyboard and can provide an alternative in the utilization of hand movements as interactions that the naturally between human and computers and allowing users to input gesture commands into an application in place of a mouse or keyboard. Human gesture recognition as technique interaction for deliver interpretation more natural and for communicating with computers. The aim of this research to find usability leap motion, how effectiveness of the Leap Motion controller for hand gesture recognition for solve important problems in human use of mouse or keyboard. Testing and implementation from this reseach focused are tracking, detection, dynamic, and statis gesture recognation. The result 6 gesture recognation double outward swipe, tap, swipe, clap, circular and fly control tap accuracy of gesture interrpretation data has obtained 87.62%. The uses the data for recognation model has obtain very good and testing with Leap Motion visualizer hand gesture recognation are often sensitive to poor resolution.
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