Phlegm-Dampness and Yin-Deficiency Constitution Identification Model Based on Human Body 3D Reconstruction
OBJECTIVE To propose an approach based on monocular optical camera-captured full-body two-dimensional ima-ges.Through a three-dimensional reconstruction algorithm,to extract three-dimensional shape parameters and utilize them for intelli-gent identification of phlegm-dampness,yin-deficiency,and other constitutions.METHODS Standard static standing posture ima-ges of subjects in their natural state were collected,and subjects filled out constitution assessment forms or were assessed by the chief TCM physician to obtain constitution information.Constitution served as data labels.A parametric human body three-dimensional re-construction algorithm was employed to extract three-dimensional shape features.Sample distribution was improved using synthetic mi-nority oversampling technique(SMOTE),and a neural network was utilized to establish the connection between human body shape and constitution.RESULTS Experimental results indicate that the accuracy of the phlegm-dampness and yin-deficiency constitution iden-tification model based on human body three-dimensional reconstruction could reach 86.16%,with an F1 score of 79.35%.After using SMOTE to enhance sample distribution,the model accuracy increases to 89.91%,with an F1 score of 84.33%.This demonstrated the feasibility and accuracy of the identification model based on human body three-dimensional reconstruction.CONCLUSION The ex-traction of human body shape features based on three-dimensional reconstruction can effectively identify phlegm-dampness and yin de-ficiency constitutions.Compared to existing methods,this approach is more convenient and enables the rapid detection of potential bia-ses in individual constitutions.Early intervention and correction can be applied to achieve the goal of"preventing disease before it oc-curs".In outpatient clinics,health checkups,and other clinical scenarios,this method has high potential and value for clinical appli-cation.Additionally,this method provides new insights for the intelligent and objective identification of TCM constitution.
TCM constitution identificationphlegm-dampness constitutionyin deficiency constitutionhuman body 3D recon-structionsynthetic minority over-sampling technique
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NSTL
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