A method for evaluating the degree of simulation of human body models based on biomechanical limit curves

摘要

【summary】 A method for improving the accuracy of evaluation of the degree of simulation of a human body model is provided. [Solution] A method for evaluating the simulation degree of a human body model based on a limit value curve of a biomechanical simulation includes: obtaining body type feature information of a human body model, constructing a self-adaptive dimension reduction neural network and a regression neural network, verifying the accuracy of the self-adaptive dimension reduction neural network and the regression neural network, inputting the body type feature information of the human body model into the regression neural network to obtain simulated biomechanical response low-dimensional data, inputting the simulated biomechanical response low-dimensional data into the middle layer of the self-adaptive dimension reduction neural network to perform dimension expansion to obtain simulated biomechanical response high-dimensional data, and further obtaining a biomechanical simulation limit value curve of the human body model, and evaluating the simulation degree of the human body model based on the limit value curve of the biomechanical simulation. This realizes the generation of a corresponding biomechanical simulation limit value curve for a human body model with any known body type information, improves the accuracy of the biomechanical simulation limit value curve, and improves the accuracy of the evaluation of the simulation degree of the human body model. [Selected Figure] Figure 1