HE Shuqin
College of physics Electronic Engineering, Northwest Normal University, Lanzhou 730070, P. R. ChinaLIANG Xiyin
College of physics Electronic Engineering, Northwest Normal University, Lanzhou 730070, P. R. ChinaYAN Changlin
Lanzhou Vacuum Equipment Co., Ltd. Huayu Branch, Lanzhou 730000, P. R. ChinaGUO Bei
College of physics Electronic Engineering, Northwest Normal University, Lanzhou 730070, P. R. ChinaLIU Hao
College of physics Electronic Engineering, Northwest Normal University, Lanzhou 730070, P. R. ChinaTP391
In order to solve the problem of low accuracy of existing gait recognition, a method of gait recognition based on multi-scale entropy and DTW (dynamic time warping) algorithm is proposed. The new method for gait recognition adopts the camera and the high sampling rate sensor, and the acceleration sensor of the mobile phone is adopted to collect the data. The sensor works at the low sampling rate, and the normal walking acceleration data of 50 volunteers are collected and processed by multi-scale entropy, from which the entropy values at various scales are obtained. Finally, the DTW algorithm is used to match the multi-scale entropy. The simulation results show that the method based on the combination of multi-scale entropy and DTW improves the accuracy of identity recognition, and the EER(Equal Error Rate) is 13.7%, which provides a new idea for gait recognition.
何书芹,梁西银,颜昌林,郭贝,刘昊.基于多尺度熵和动态时间规整的步态身份识别[J].重庆大学学报,2018,41(11):84~91
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