Abstract
In this paper, the image recognition technology and augmented reality (AR) technology are combined in the design of the tourist attraction guide system. Through the mobile application scanning the real environment to recognize the scenic spots, and superimposing the virtual scenic spots information in the real scene, it can be more targeted for the users to provide the information of the scenic spots. Aiming at the key technical problems involved in the implementation of the system, a modeling method of AR guide system based on Unity3D and Vuforia is proposed. Based on this, the prototype design and development of the auditorium system of Southeast University, which consists of AR mode and virtual screen display mode, is carried out. This system integrates the scanning and recognition of scenic spots and browsing of navigation information. User testing shows it has a high recognition rate and a comfortable user experience.
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Acknowledgments
The research leading to these results has received funding from The National Natural Science Foundation of China (No. 718710567, 71471037).
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Zhou, X., Sun, Z., Xue, C., Lin, Y., Zhang, J. (2019). Mobile AR Tourist Attraction Guide System Design Based on Image Recognition and User Behavior. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_131
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DOI: https://doi.org/10.1007/978-3-030-11051-2_131
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