OBJECTIVE To propose an approach based on monocular optical camera-captured full-body two-dimensional images. Through a three-dimensional reconstruction algorithm, to extract three-dimensional shape parameters and utilize them for intelligent identification of phlegm-dampness, yin-deficiency, and other constitutions.

METHODS Standard static standing posture images 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 reconstruction algorithm was employed to extract three-dimensional shape features. Sample distribution was improved using synthetic minority 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 identification 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 extraction of human body shape features based on three-dimensional reconstruction can effectively identify phlegm-dampness and yin deficiency constitutions. Compared to existing methods, this approach is more convenient and enables the rapid detection of potential biases in individual constitutions. Early intervention and correction can be applied to achieve the goal of "preventing disease before it occurs". In outpatient clinics, health checkups, and other clinical scenarios, this method has high potential and value for clinical application. Additionally, this method provides new insights for the intelligent and objective identification of TCM constitution.