Lower limb movement ability evaluation method based on improved convolutional neural network

Abstract

The invention discloses a lower limb movement ability evaluation method based on an improved convolutional neural network. The method comprises the following steps: obtaining gait video images and human skeleton joint position information in the gait process of a subject; generating depth data for the gait video image and carrying out binarization processing through a bilateral filtering method soas to obtain a gait contour image; calculating a knee joint angle by using a space vector method; extracting gait contour features of the gait contour image by using an improved convolutional neuralnetwork; connecting the gait contour features and knee joint angles in series, performing normalization, performing feature dimension reduction on the features by using a kernel principal component analysis method, establishing a lower limb athletic ability evaluation index, and performing lower limb athletic ability evaluation on the subject. According to the method, the video image features areautomatically extracted by using the improved convolutional neural network in which the space pyramid pooling layer and the COCOB optimization algorithm are added in the traditional convolutional neural network, so that the complexity is greatly reduced, and the evaluation accuracy is improved.

Description

technical field [0001] The invention relates to the field of image processing and deep learning, in particular to a method for evaluating lower limb motor ability based on an improved convolutional neural network. Background technique [0002] With the continuous improvement of living conditions and medical standards, people's health index is improving, and at the same time, people's life expectancy is getting longer and longer, resulting in increasingly serious pension problems. With age, the elderly will suffer from severe movement disorders due to degeneration of physical functions and diseases, with significant changes in gait characteristics, decreased movement speed, reduced range of joint angle range of motion, and insufficient standing and walking stability. Therefore, for the elderly with limited mobility, mobility can be restored to a certain extent by wearing some specific exoskeleton devices. However, there is still a lack of relevant research at home and abroad...

AI Technical Summary

Problems solved by technology

But cropping will lead to loss of information, and deformation will lead to distortion of position information, which will affect the accuracy of recognition

Therefore, there is currently no simple, objective, quantitative, and comprehensive method for evaluating lower limb exercise capacity.

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