Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7594
Title: Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training
Authors: Heng, Pheng-Ann 
Wong, Tien-Tsin 
Yang, Rong 
Chui, Yim-Pan 
Xie, Yong Ming 
Prof. LEUNG Kwong Sak 
Leung, Ping-Chung 
Issue Date: 2006
Source: IEEE Transactions on Information Technology in Biomedicine, 2006, vol. 10 (1), pp. 28 - 41
Journal: IEEE Transactions on Information Technology in Biomedicine 
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. © 2006 IEEE.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/7594
ISSN: 10897771
DOI: 10.1109/TITB.2005.855567
Appears in Collections:Applied Data Science - Publication

Show full item record

SCOPUSTM   
Citations

52
checked on Dec 15, 2024

Page view(s)

30
Last Week
1
Last month
checked on Dec 20, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.