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A more natural, intuitive, user-friendly, and less intrusive Human-Computer interface for controlling an application by executing hand gestures is presented. For this purpose, a robust vision-based hand-gesture recognition system has been developed, and a new database has been created to test it. The system is divided into three stages: detection, tracking, and recognition. The detection stage searches in every frame of a video sequence potential hand poses using a binary Support Vector Machinedoi:10.1016/j.cviu.2015.07.009 fatcat:75dne4lacnefzgqusa6ot6npp4