A 2-D visual model for Sasang constitution classification based on a fuzzy neural network
- Authors
- Zhang, Z.-X.; Tian, X.-W.; Lim, J.S.
- Issue Date
- 2013
- Keywords
- Fuzzy neural network; Ryodoraku; Sasang constitution; So-Eum; So-Yang; Tae-Eum; Tae-Yang
- Citation
- Lecture Notes in Electrical Engineering, v.215 LNEE, pp.357 - 362
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 215 LNEE
- Start Page
- 357
- End Page
- 362
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14895
- DOI
- 10.1007/978-94-007-5860-5_43
- ISSN
- 1876-1100
- Abstract
- The human constitution can be classified into four possible constitutions according to an individual's temperament and nature: Tae-Yang, So-Yang, Tae-Eum, and So-Eum. This classification is known as the Sasang constitution. In this study, we classified the four types of Sasang constitutions by measuring twelve sets of meridian energy signals with a Ryodoraku device. We then developed a Sasang constitution classification method based on a fuzzy neural network (FNN) and a two-dimensional (2-D) visual model. We obtained meridian energy signals from 35 subjects for the So-Yang, Tae-Eum, and So-Eum constitutions. A FNN was used to obtain defuzzification values for the 2-D visual model, which was then applied to the classification of these three Sasang constitutions. Finally, we achieved a Sasang constitution recognition rate of 89.4 %. © 2013 Springer Science+Business Media.
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