Insertion force of acupuncture for a computer training system

Ren Kanehira, Weiping Yang, Hirohisa Narita, Hideo Fujimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In this study, a training computer simulation system for acupuncture training was proposed for the purpose of a quantitative characterization of the traditional oriental technique. A system using a force measuring device was constructed to record and analyze the basic data of insertion force. The index of insertion force was decided, and fundamental data for the development of such a computer simulation system of acupuncture training was obtained.

Original languageEnglish
Title of host publicationArtificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings
Pages64-70
Number of pages7
EditionPART 2
DOIs
Publication statusPublished - 14-12-2010
Event2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 - Sanya, China
Duration: 23-10-201024-10-2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6320 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010
CountryChina
CitySanya
Period23-10-1024-10-10

Fingerprint

Acupuncture
Insertion
Computer systems
Simulation System
Computer simulation
Computer Simulation
Training

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kanehira, R., Yang, W., Narita, H., & Fujimoto, H. (2010). Insertion force of acupuncture for a computer training system. In Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings (PART 2 ed., pp. 64-70). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6320 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-16527-6_10
Kanehira, Ren ; Yang, Weiping ; Narita, Hirohisa ; Fujimoto, Hideo. / Insertion force of acupuncture for a computer training system. Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2. ed. 2010. pp. 64-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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Kanehira, R, Yang, W, Narita, H & Fujimoto, H 2010, Insertion force of acupuncture for a computer training system. in Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6320 LNAI, pp. 64-70, 2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010, Sanya, China, 23-10-10. https://doi.org/10.1007/978-3-642-16527-6_10

Insertion force of acupuncture for a computer training system. / Kanehira, Ren; Yang, Weiping; Narita, Hirohisa; Fujimoto, Hideo.

Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2. ed. 2010. p. 64-70 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6320 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kanehira R, Yang W, Narita H, Fujimoto H. Insertion force of acupuncture for a computer training system. In Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Proceedings. PART 2 ed. 2010. p. 64-70. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-16527-6_10