Analysis and Evaluation of Gesture Recognition using LeapMotion

Nowadays are emerging increasingly natural interaction devices, which use human body as a natural way of interacting with applications. To correctly interact with natural interfaces, also named NUI, there is a need to improve the recognition and performance evaluation of different gestures simultaneously in order to identify which configurations between gestures and settings best fit to get a greater efficiency on their recognition. The evaluation was performed based on real gestural attempts with two participants. Finally, the application got a gesture recognition average rate of 86.1% using only the minimum resources provided by the LeapMotion device.