Augmented Reality to Promote Understanding and Cognizing in Learning of Engineering Drawing

  • Ming Yan
  • Menglin Zhao
  • Zhe LiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11937)


Since augmented reality (AR) technology has the characteristics of enhancing display effect and real interaction with human beings, it has been widely used in different scenarios of education. However, the AR technology usually requires a corresponding equipment such as a head mounted display (HMD) to display, so its application scope is limited in many aspects. This paper uses the Unity development tools to develop an AR application, which can display three-dimensional (3D) structural models corresponding to different three views of a geometric object on mobile smartphones. During the learning process of engineering drawing, different three views can be scanned by the application, and the corresponding 3D model is automatically restored. By combining the virtual 3D structure with the real world experience, students can better learn engineering drawing courses in the virtual combined environment. The survey results show that the AR application can effectively improve students’ understanding and cognizing of 3D objects in engineering drawing learning.


Augmented reality Three-dimensional model Engineering drawing Mobile application 


  1. 1.
    Martín-Gutiérrez, J., Mora, C.E., Añorbe-Díaz, B.: Virtual technologies trends in education. EURASIA J. Math. Sci. Technol. Educ. 13(2), 469–486 (2017)Google Scholar
  2. 2.
    Xu, D.: A neural network approach for hand gesture recognition in virtual reality driving training system of SPG. In: 18th International Conference on Pattern Recognition, vol. 3, pp. 519–522. (2006)Google Scholar
  3. 3.
    Chi, H.L., Kang, S.C., Wang, X.: Research trends and opportunities of augmented reality applications in architecture, engineering, and construction. Autom. Constr. 33, 116–122 (2013)CrossRefGoogle Scholar
  4. 4.
    Zhan, C., Yu, X., Wu, Y.: The Application of “Virtual Reality + Education” in College Practical Teaching (2019)Google Scholar
  5. 5.
    He, Z., Sui, X., Cao, L.: Progress in virtual reality and augmented reality based on holographic display. Appl. Opt. 58(5), A74–A81 (2019)CrossRefGoogle Scholar
  6. 6.
    Barnea, N., Dori, Y.J.: Computerized molecular modeling as a tool to improve chemistry teaching. J. Chem. Inf. Comput. Sci. 36(4), 629–636 (1996)CrossRefGoogle Scholar
  7. 7.
    Cai, S., Wang, X., Chiang, F.K.: A case study of Augmented Reality simulation system application in a chemistry course. Comput. Hum. Behav. 37, 31–40 (2014)CrossRefGoogle Scholar
  8. 8.
    Li, X., Yi, W., Chi, H.L.: A critical review of virtual and augmented reality (VR/AR) applications in construction safety. Autom. Constr. 86, 150–162 (2018)CrossRefGoogle Scholar
  9. 9.
    Oranç, C., Küntay, A.C.: Learning from the real and the virtual worlds: educational use of augmented reality in early childhood. Int. J. Child-Comput. Inter. 21, 104–111 (2019)CrossRefGoogle Scholar
  10. 10.
    Liu, H.: Application of virtual reality technology in college physical education teaching and training. J. Phys. Conf. Ser. 1213(4), 042044 (2019)Google Scholar
  11. 11.
    Liao, H., Qu, Z.: Virtual experiment system for electrician training based on Kinect and Unity3D. In: Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, pp. 2659–2662. IEEE (2013)Google Scholar
  12. 12.
    Yan, M., et al.: Modeling the total energy consumption of mobile network services and applications. Energies 12(1), 184 (2019)CrossRefGoogle Scholar
  13. 13.
    Yan, M., Li, M., Chan, C., Bian, S., Chih-Lin, I., Gygax, A.F.: PECS: towards personalized edge caching for future service-centric networks. China Commun. 16(8), 93–106 (2019)Google Scholar
  14. 14.
    Liou, H.H., Yang, S.J., Chen, S.Y.: The influences of the 2D image-based augmented reality and virtual reality on student learning. J. Educ. Technol. Soc. 20(3), 110–121 (2017)Google Scholar
  15. 15.
    Liu, J., He, M., Li, Z., Su, J.: The application of improved spherical harmonics expansion-based multilevel fast multipole algorithm in the solution of volume-surface integral equation. Int. J. Antennas Propag. 2018, 1–7 (2018)Google Scholar
  16. 16.
    Yan, M., Chan, C.A., Li, W., Lei, L., Gygax, A.F., Chin-Lin, I.: Assessing the energy consumption of proactive mobile edge caching in wireless networks. IEEE Access 7, 104394–104404 (2019)CrossRefGoogle Scholar
  17. 17.
    Greenwald, S.W., Beck, S., Snyder, A.: Technology and applications for collaborative learning in virtual reality. International Society of the Learning Sciences, Philadelphia (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Communication University of ChinaBeijingChina
  2. 2.Osaka UniversityOsakaJapan

Personalised recommendations