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Research on Multimodal Perceptual Navigational Virtual and Real Fusion Intelligent Experiment Equipment and Algorithm

机译：多峰感知导航虚拟融合智能实验设备及算法研究

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Virtual experiment is an important field of human-computer interaction. With more and more virtual laboratories emerging, we found that problems regarding virtual experiments are rising. Such problems can be listed as follows: First, human-computer interaction has lower efficiency during the process of virtual experiment, which means the computer cannot understand the user & x2019;s intention thus leading to incorrect operation. Second, there are less detections for false behavior during experiments. Third, the virtual laboratory & x2019;s sense of operation and realism is not strong. In order to solve the above problems, the multimodal sensing navigation virtual and real fusion laboratory (MSNVRFL) was designed and implemented in this paper. We design a new set of experimental equipment with the function of cognition and study a multimodal fusion model and algorithm for chemical experiments, which are both finally verified and applied in MSNVRFL. By using multimodal fusion perception algorithm, the user & x2019;s true intentions can be understood and the human-computer interaction efficiency can be improved. By carrying out a virtual experiment with the mold of virtual and real fusion, problems like resources wasting and dangers happened during experiment can be avoided, user & x2019;s sense of operation and realism can be improved. In addition, teaching navigation and wrong operation behavior reminders are provided for users. The experimental result shows that our method can improve the efficiency of human-computer interaction, reduce the user & x2019;s cognitive load, strengthen the user & x2019;s sense of reality and operation and stimulate students & x2019; interest in learning.
机译：虚拟实验是人机互动的重要领域。随着越来越多的虚拟实验室，我们发现关于虚拟实验的问题正在上升。这些问题可以列出如下：首先，在虚拟实验过程中，人机交互具有较低的效率，这意味着计算机无法理解用户＆x2019;■这导致操作不正确。其次，在实验期间对虚假行为的检测较小。第三，虚拟实验室和X2019;的操作感和现实主义并不强劲。为了解决上述问题，在本文中设计和实施了多模式传感导航虚拟和实际融合实验室（MSNVRFL）。我们设计了一种具有认知功能的新型实验设备，研究了一种多模式融合模型和化学实验算法，最终验证并应用于MSNVRFL。通过使用多模式融合感知算法，可以理解用户＆x2019; S真意图，可以改善人机交互效率。通过对虚拟和真实融合的模具进行虚拟实验，可以避免使用资源浪费和在实验期间发生的危险等问题，用户＆x2019;■操作和现实主义的感觉和现实主义可以得到改善。此外，为用户提供教学导航和错误的操作行为提醒。实验结果表明，我们的方法可以提高人机相互作用的效率，减少用户和X2019; S认知负荷，加强用户＆x2019;对现实和操作感，刺激学生和x2019;对学习的兴趣。

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