Intelligent inferencing and haptic simulation for Chinese acupuncture learning and training
| Autor: | Kwong-Sak Leung, Yong Ming Xie, Yim-Pan Chui, Rong Yang, Tien-Tsin Wong, Pheng-Ann Heng, Ping-Chung Leung |
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| Rok vydání: | 2006 |
| Předmět: |
Models
Anatomic Computer science Acupuncture Therapy Traditional Chinese medicine Virtual reality computer.software_genre Models Biological User-Computer Interface Imaging Three-Dimensional Virtual patient Human–computer interaction Artificial Intelligence Acupuncture Humans Computer Simulation Electrical and Electronic Engineering Medicine Chinese Traditional Virtual actor Haptic technology Multimedia Learning environment Teaching General Medicine Computer Science Applications Needles Touch computer Biotechnology Instructional simulation Computer-Assisted Instruction |
| Zdroj: | IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society. 10(1) |
| ISSN: | 1089-7771 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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