Real-time virtual instruments based on neural network system

Hon-Hang Chang, Chun-Hong Huang, Ting-Kuo Lin, T. Shih, Shulei Wu
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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. 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.
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基于神经网络系统的实时虚拟仪器
人机交互(HCI)领域的研究越来越频繁地出现在我们的生活中。这些相关的应用不仅使我们的生活更加方便和高效,而且还降低了间接成本。通过不同类型的人机交互应用程序,用户可以更自然、更快速、更直观地向计算机传递命令。本文使用Leap Motion1来捕获用户上交的信息。进一步识别用户的手势,减轻虚拟仪器的操作负担。我们利用神经网络对从Leap Motion中捕获的信息进行分析,然后将指令传递给计算机。最后,本文将证明我们的系统能够实时、准确地保持状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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