Abstract

Body constitution classification is the basis and core content of traditional Chinese medicine constitution research. It is to extract the relevant laws from the complex constitution phenomenon and finally build the constitution classification system. Traditional identification methods have the disadvantages of inefficiency and low accuracy, for instance, questionnaires. This paper proposed a body constitution recognition algorithm based on deep convolutional neural network, which can classify individual constitution types according to face images. The proposed model first uses the convolutional neural network to extract the features of face image and then combines the extracted features with the color features. Finally, the fusion features are input to the Softmax classifier to get the classification result. Different comparison experiments show that the algorithm proposed in this paper can achieve the accuracy of 65.29% about the constitution classification. And its performance was accepted by Chinese medicine practitioners.

Highlights

  • Traditional Chinese medicine (TCM) constitution theory originated in the “Yellow Emperor”

  • The face feature is extracted by convolution neural network, and these features are merged with the face color feature

  • This paper presented a constitution classification algorithm based on convolutional neural networks

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Summary

Introduction

Traditional Chinese medicine (TCM) constitution theory originated in the “Yellow Emperor” . Through the enrichment and development of constitution physiology, traditional Chinese physicians have gradually constructed a relatively independent discipline system of TCM constitution and clarified the concept of TCM constitution in the 1970s. Body constitution is an objective life phenomenon, which shows the morphological structure, physiological function, psychological state, and other aspects of the comprehensive, relatively stable characteristics in the individual life process. This character determines the body’s susceptibility to certain pathogenic factors and the tendency of its type of disease. The difference in constitution is the result of congenital factors and a variety of acquired factors [1, 2]

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