Open AccessResearch on Gait Detection Algorithm Based on Plantar Pressure
Author(s) -
Youyu Wu,
Rong Huang,
Hua Ge
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/2/022068
Subject(s) - convolutional neural network , plantar pressure , valgus , gait , computer science , convolution (computer science) , artificial neural network , artificial intelligence , algorithm , pattern recognition (psychology) , physical medicine and rehabilitation , orthodontics , pressure sensor , engineering , medicine , mechanical engineering
In order to identify the relationship between dynamic plantar pressure information and hallux valgus, this paper proposes a CNN model to achieve a gait detection method based on plantar pressure. The plantar pressure data during walking convert into an image, and then the convolution neural network model in deep learning is used. Given enough input image data and expected classification results. By changing the parameters of CNN, the relationship between plantar pressure image and hallux valgus was established. Then final classification model is obtained. The result shows that the accuracy of the proposed CNN model for the diagnosis of hallux valgus achieve 90.56%, which can be used as a clinical assistant method for the diagnosis of hallux valgus. The experimental results verify the validity of the model.