Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training.
Identifieur interne : 005E04 ( Main/Merge ); précédent : 005E03; suivant : 005E05Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training.
Auteurs : Pheng-Ann Heng [Hong Kong] ; Tien-Tsin Wong ; Rong Yang ; Yim-Pan Chui ; Yong Ming Xie ; Kwong-Sak Leung ; Ping-Chung LeungSource :
- IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society [ 1089-7771 ] ; 2006.
English descriptors
- KwdEn :
- Acupuncture (education), Acupuncture (methods), Acupuncture Therapy (methods), Artificial Intelligence, Computer Simulation, Computer-Assisted Instruction (methods), Humans, Imaging, Three-Dimensional (methods), Medicine, Chinese Traditional (methods), Models, Anatomic, Models, Biological, Needles, Teaching, Touch (physiology), User-Computer Interface.
- MESH :
- education : Acupuncture.
- methods : Acupuncture, Acupuncture Therapy, Computer-Assisted Instruction, Imaging, Three-Dimensional, Medicine, Chinese Traditional.
- physiology : Touch.
- Artificial Intelligence, Computer Simulation, Humans, Models, Anatomic, Models, Biological, Needles, Teaching, User-Computer Interface.
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.
PubMed: 16445247
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pubmed:16445247Le document en format XML
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first="Yim-Pan" last="Chui">Yim-Pan Chui</name></author><author><name sortKey="Xie, Yong Ming" sort="Xie, Yong Ming" uniqKey="Xie Y" first="Yong Ming" last="Xie">Yong Ming Xie</name></author><author><name sortKey="Leung, Kwong Sak" sort="Leung, Kwong Sak" uniqKey="Leung K" first="Kwong-Sak" last="Leung">Kwong-Sak Leung</name></author><author><name sortKey="Leung, Ping Chung" sort="Leung, Ping Chung" uniqKey="Leung P" first="Ping-Chung" last="Leung">Ping-Chung Leung</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2006">2006</date><idno type="RBID">pubmed:16445247</idno><idno type="pmid">16445247</idno><idno type="wicri:Area/PubMed/Corpus">001838</idno><idno type="wicri:Area/PubMed/Curation">001838</idno><idno type="wicri:Area/PubMed/Checkpoint">001579</idno><idno type="wicri:Area/Ncbi/Merge">000874</idno><idno type="wicri:Area/Ncbi/Curation">000874</idno><idno type="wicri:Area/Ncbi/Checkpoint">000874</idno><idno type="wicri:doubleKey">1089-7771:2006:Heng P:intelligent:inferencing:and</idno><idno type="wicri:Area/Main/Merge">005E04</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training.</title><author><name sortKey="Heng, Pheng Ann" sort="Heng, Pheng Ann" uniqKey="Heng P" first="Pheng-Ann" last="Heng">Pheng-Ann Heng</name><affiliation wicri:level="4"><nlm:affiliation>Department of Computer Science and Engineering, The Chinese University of Hong Kong. pheng@cse.cuhk.edu.hk</nlm:affiliation><country>Hong Kong</country><placeName><settlement type="city">Sha Tin</settlement></placeName><orgName type="university">Université chinoise de Hong Kong</orgName></affiliation></author><author><name sortKey="Wong, Tien Tsin" sort="Wong, Tien Tsin" uniqKey="Wong T" first="Tien-Tsin" last="Wong">Tien-Tsin Wong</name></author><author><name sortKey="Yang, Rong" sort="Yang, Rong" uniqKey="Yang R" first="Rong" last="Yang">Rong Yang</name></author><author><name sortKey="Chui, Yim Pan" sort="Chui, Yim Pan" uniqKey="Chui Y" first="Yim-Pan" last="Chui">Yim-Pan Chui</name></author><author><name sortKey="Xie, Yong Ming" sort="Xie, Yong Ming" uniqKey="Xie Y" first="Yong Ming" last="Xie">Yong Ming Xie</name></author><author><name sortKey="Leung, Kwong Sak" sort="Leung, Kwong Sak" uniqKey="Leung K" first="Kwong-Sak" last="Leung">Kwong-Sak Leung</name></author><author><name sortKey="Leung, Ping Chung" sort="Leung, Ping Chung" uniqKey="Leung P" first="Ping-Chung" last="Leung">Ping-Chung Leung</name></author></analytic><series><title level="j">IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society</title><idno type="ISSN">1089-7771</idno><imprint><date when="2006" type="published">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acupuncture (education)</term><term>Acupuncture (methods)</term><term>Acupuncture Therapy (methods)</term><term>Artificial Intelligence</term><term>Computer Simulation</term><term>Computer-Assisted Instruction (methods)</term><term>Humans</term><term>Imaging, Three-Dimensional (methods)</term><term>Medicine, Chinese Traditional (methods)</term><term>Models, Anatomic</term><term>Models, Biological</term><term>Needles</term><term>Teaching</term><term>Touch (physiology)</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="education" xml:lang="en"><term>Acupuncture</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Acupuncture</term><term>Acupuncture Therapy</term><term>Computer-Assisted Instruction</term><term>Imaging, Three-Dimensional</term><term>Medicine, Chinese Traditional</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Touch</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Artificial Intelligence</term><term>Computer Simulation</term><term>Humans</term><term>Models, Anatomic</term><term>Models, Biological</term><term>Needles</term><term>Teaching</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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