Skip to main navigation Skip to search Skip to main content

Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training

  • P.-A. Heng
  • , Tien-Tsin Wong
  • , Rong Yang
  • , Yim-Pan Chui
  • , Yong Ming Xie
  • , Kwong-Sak Leung
  • , Ping-Chung Leung

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper presents an intelligent virtual environment for Chinese acupuncture learning and training using state-of-the-art virtual reality technology. It is the first step toward developing a comprehensive virtual human model for studying Chinese medicine. Students can learn and practice acupuncture in the proposed 3-D interactive virtual environment that supports a force feedback interface for needle insertion. Thus, students not only "see" but also "touch" the virtual patient. With high performance computers, highly informative and flexible visualization of acupuncture points of various related meridian and collateral can be highlighted to guide the students during training. A computer-based expert system using our newly proposed intelligent fuzzy petri net is designed and implemented to train the students to treat different diseases using acupuncture. Such an intelligent virtual reality system can provide an interesting and effective learning environment for Chinese acupuncture.

Original languageEnglish
Pages (from-to)28-41
Number of pages14
JournalIEEE Transactions on Information Technology in Biomedicine
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 2006
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Chinese acupuncture
  • Fuzzy inferencing
  • Needle insertion

Cite this