Author(s)

Zhang Yingying, Liu Bin, Cai Liming, Jia Pengfei, Liu Yongfeng, Guo Kai, Yang Hongbo

Corresponding Author

Zhang Yingying

Abstract

The aging of our population has resulted in an increase in the number of lost persons in the elderly. Based on the foot pressure information, this paper presents a method which can be used to identify the elderly and prevent the loss of the elderly. Considering the two characteristics of foot contour shape and foot pressure distribution, using the improved closed foot contour to extract Fourier descriptor, the Laplace characteristic spectrum is extracted based on pressure, and the eigenvectors describing the foot contour are obtained. Using SVM (support vector machine) for machine learning and training classifier, it is proved that the recognition rate of this method to the elderly is more than 80%.

Keywords

Foot pressure; Feature extraction; Fourier depiction; Laplace Spectrum