Real-time virtual instruments based on neural network system

Research in the field of Human-Computer Interaction (HCI) has become more and more frequently in our life. These related applications not only make our lives more convenient and efficiency, but also reduce the overhead costs. Users can more naturally, quickly and intuitively convey commands through different types of HCI applications to computer. Leap Motion¹ is used to capture the information of users hand in this paper. Further recognize the hand gesture of user to reduce the burden of operating virtual instrument. We using neural network to analyze the information which captured from Leap Motion, then convey commands to computer. Finally, this paper will prove our system could maintain in real time and accurately state.