[1]Huang Yunhui,Liu Xiaohan,Yao Junfeng,et al.Research and implementation of self-help 3D consultation system[J].Journal of Zhengzhou University (Engineering Science),2019,40(02):58-61.[doi:10.13705/j.issn.1671-6833.2019.02.005]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40卷
Number of periods:
2019 02
Page number:
58-61
Column:
Public date:
2019-03-19
- Title:
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Research and implementation of self-help 3D consultation system
- Author(s):
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Huang Yunhui 1; Liu Xiaohan 2; Yao Junfeng 2; Lu Yiqing 1; Chen Jinchun 3
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1. Department of Information, Xiamen Hospital of Traditional Chinese Medicine; 2. Digital Media Technology Research Center, School of Software, Xiamen University; 3. People’s Congress of Xiamen City, Fujian Province
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- Keywords:
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3D guidance system; virtual hospital; outpatient information system; A* algorithm; Virtual Reality
- CLC:
-
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- DOI:
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10.13705/j.issn.1671-6833.2019.02.005
- Abstract:
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The traditional hospital division is too professional and medical treatment process separates. In the absence of good consultation service, patients are very inconvenient. With the development of information technology, more and more hospitals begin the construction of consultation system, but the function of these systems is still not comprehensive. The consultation system in this paper is used for 3D modeling of the Chinese Traditional Medicine Hospital of Xiamen, with walking, roaming, automatic navigation, hospital department introduction and other functions. The system is based on Windows platform, using 3DMAX, MAYA to build 3D models, and interaction is implemented in Unity3d. The core of interaction is automatic navigation. It use A* algorithm. According to the relative fixation of the objects in the hospital and the crisscrossing of the road, the heuristic function of Manhattan is adopted to simplify the algorithm. The system can effectively help patients understand the medical environment, and the operation of the system is simple and intuitive, which is convenient for patients among different ranks.