A physical fitness prediction method based on visible light and near-infrared spectroscopy

Abstract

The invention discloses a physique prediction method based on visible light and near-infrared spectrum technology, and belongs to the fields of visible light and near-infrared spectrum technology and TCM constitution identification and diagnosis. The method includes collecting spectral data of different parts of the user's face, performing spectral preprocessing, screening the position of the facial spectral data, and determining the facial position and spectral data for modeling. According to the doctor's diagnosis, with the help of equipment, a physical fitness prediction is given. A plurality of physique prediction models are constructed according to the collected spectral data and corresponding physique attributes. In the prediction stage, detect the spectral data of the facial parts selected by the user, preprocess and make multiple prediction model physique prediction judgments, and comprehensively evaluate to give the final physique prediction result. This method is suitable for medical auxiliary prediction and daily physical fitness prediction. This method improves the detection speed and the accuracy of physique prediction, and realizes the integration of traditional Chinese medicine with physics, electromechanical, information and other technologies. It has obvious originality in principle and implementation plan.

Description

Technical field [0001] The present invention belongs to visible light and near-infrared light analysis applications, in particular, a physical prediction method based on visible light and near infrared spectroscopy. Background technique [0002] Optical characteristics of human skin are one of the research directions in recent years. When light is irradiated with organisms, it will be attenuated due to surface reflection, internal absorption and scattering. Skin tissue absorption light has a significant selectivity, and human information can be obtained. Skin tissue is a dense non-uniform turbid optical medium. After the illumination split table, part is reflected by the skin, and the other is absorbed by the skin. As the wavelength increases, the degree of penetration of light has changed. Among them, visible light is small in the biological tissue, and is basically fully reflected by the surface. Infraidity can be deeply in-depth skin, and can directly act directly into blood v...

AI Technical Summary

Problems solved by technology

The main problems of this method are that the color of the face is easily disturbed by the environment, the accuracy of thermal imaging is poor, and the thermal imaging equipment is expensive

This method only predicts the physique from the difference in color and temperature. In addition, the easy interference and accuracy problems of the test method indirectly lead to the correctness of subsequent physique predictions.

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