| dc.description.abstract | 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. With advances in computer technology and precision equipment, computers can complete multivariate works for users. For example, the use of smartphones just touching the panel, then the alarm clock, navigation, photograph applications will be executed. And even the use of camera devices like Kinect , Leap Motion , Creative Sen3d , etc. Through recognizing the images obtained from camera devices convey commands to the computer. And the computer complete the assigned work for users when receives commands. In recent years, the researches about innovative technology and human-computer interaction become skillful. These studies break the traditional way of interacting with a computer also makes HCI becoming a part of life.
Leap Motion was used to captured the hand information of users in this paper. Further recognize the hand gesture of users to reduce the burden of operating virtual instrument. We train a neural network to analyze the information captured from the Leap Motion, then convey commands that we predefined to computer. Finally, this paper will show that our system could maintain in real time and stable state.
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