Physique prediction method and device

Abstract

The invention relates to a physique prediction method and device. The method comprises the following steps: acquiring a finger glow image of a testee by adopting a gas discharge imaging device; determining a preset meridian energy parameter value according to the finger glow image; inputting the preset meridian energy parameter value into a pre-constructed physique identification model to obtain a plurality of physique categories to which the testee belongs; and determining the physique of the testee according to the plurality of physique categories. The prediction method provided by the invention is executed through computer equipment, so compared with a questionnaire evaluation mode in the prior art, the time for determining the physique can be greatly shortened, objectivity is achieved, distortion of an evaluation result is avoided, and the accuracy of physique prediction can be greatly improved. The method provided by the invention has the advantages of simplicity and convenience in operation and rapidness in obtaining a conclusion.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a method and device for predicting physical fitness. Background technique [0002] TCM constitution is a comprehensive and relatively stable trait in the morphological structure, physiological function and psychological state formed on the basis of congenital inheritance and acquired in the course of an individual's life. The discussion of constitution in traditional Chinese medicine began in the "Huangdi Neijing" in the Western Han Dynasty, but for a long time, the content of constitution of traditional Chinese medicine was only scattered in some medical works and documents, and did not form a special discipline system. In the 1970s, Professor Wang Qi began to engage in theoretical, basic and clinical research on TCM constitution theory, and gradually established a TCM constitution theory system. According to the evaluation standard of "Classification and D...

AI Technical Summary

Problems solved by technology

[0004] (1) It takes a long time

The standard has 9 subscales, a total of 67 questions, each question has 5 options, and the average answering time is 5-10 minutes. A large number of questions and answers consume the patience of the testees, thus refusing to make evaluations, or perfunctory evaluations

The scale is in the form of a questionnaire, which is affected by the knowledge reserve and understanding of the testee. In addition, many testees often exaggerate or ignore self-symptoms, which leads to distortion of the evaluation results

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