Skip to content
Free planNo credit card requiredStart writing

article · CentAUR (University of Reading) · 2008

Dental training system using haptic technology

Ho Yeung Brian Tse

Cited by 0Abstract and details only

Abstract

In the U.K., dental students require to perform training and practice on real human tissues at the very early stage of their courses. Currently, the human tissues, such as decayed teeth, are mounted in a human head like physical model. The problems with these models in teaching are; (1) every student operates on tooth, which are always unique; (2) the process cannot be recorded for examination purposes and (3) same training are not repeatable. The aim of the PHATOM Project is to develop a dental training system using Haptic technology. This paper documents the project background, specification, research and development of the first prototype system. It also discusses the research in the visual display, haptic devices and haptic rendering. This includes stereo vision, motion parallax, volumetric modelling, surface remapping algorithms as well as analysis design of the system. A new volumetric to surface model transformation algorithm is also introduced. This paper includes the future work on the system development and research.

Cite this paper

APA 7

Tse, H. Y. B. (2008). Dental training system using haptic technology. CentAUR (University of Reading).

MLA 9

Tse, Ho Yeung Brian. “Dental training system using haptic technology.” CentAUR (University of Reading), 2008.

Chicago

Tse, Ho Yeung Brian. 2008. “Dental training system using haptic technology.” CentAUR (University of Reading).

Harvard

Tse, H.Y.B. (2008) ‘Dental training system using haptic technology’, CentAUR (University of Reading).

BibTeX
@article{tse2008dental,
  title = {{Dental training system using haptic technology}},
  author = {Tse, Ho Yeung Brian},
  journal = {CentAUR (University of Reading)},
  year = {2008}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.