Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Automatic location of facial acupuncture-point based on facial feature points positioning

Authors
Menglong Chang, Qing Zhu
Corresponding Author
Menglong Chang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.111How to use a DOI?
Keywords
Automation location, Facial Acupuncture-point, Facial feature.
Abstract

Acupuncture-point is a very important part in traditional Chinese medicine, but to locate the points is very difficult for non professionals. In this paper, we put forward a new method to locate the acupuncture points of human facial based on the research of the pattern recognition technology in the facial acupuncture points. The method is easy to operate and can be used without professional training, so it can greatly reduce the difficulty of positioning, improve the positioning accuracy, and is beneficial to the application of acupuncture points in the treatment and health care. Experiments show that the method proposed in this paper is effective.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.111
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.111How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Menglong Chang
AU  - Qing Zhu
PY  - 2017/04
DA  - 2017/04
TI  - Automatic location of facial acupuncture-point based on facial feature points positioning
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 545
EP  - 549
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.111
DO  - 10.2991/fmsmt-17.2017.111
ID  - Chang2017/04
ER  -