Research on Intelligent Gait Recognition Method Based on Plantar Pressure Perception

Authors

Xueqin Liu, 1. Beijing Information Science and Technology University, Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;;2. Key Laboratory of Modern Measurement and Control, Beijing 100101, China;
Liu Ning, 1. Beijing Information Science and Technology University, Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;;2. Key Laboratory of Modern Measurement and Control, Beijing 100101, China;
Su Zhong, 1. Beijing Information Science and Technology University, Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;;2. Key Laboratory of Modern Measurement and Control, Beijing 100101, China;
Jingxiao Wang, 1. Beijing Information Science and Technology University, Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;;2. Key Laboratory of Modern Measurement and Control, Beijing 100101, China;
Chaojie Yuan, 1. Beijing Information Science and Technology University, Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;;2. Key Laboratory of Modern Measurement and Control, Beijing 100101, China;

Abstract

Abstract: In view of the complexity and low accuracy of gait recognition in the past, an intelligent gait recognition method based on plantar pressure perception is proposed. The pressure data of the gait of plantar periodic motion is collected and the obtained gait data is classified by the vector machines,the intelligent gait recognition of plantar pressure perception is realized, and the accuracy of gait feature analysis is improved. Through experiment verification, the overall classification accuracy of the classifier is more than 90%, which verifies the rationality of the feature extraction. By evaluating the real state and the results of intelligent gait recognition based on plantar pressure perception, the high accuracy of the proposed method for gait recognition is confirmed.

Recommended Citation

Liu, Xueqin; Ning, Liu; Zhong, Su; Wang, Jingxiao; and Yuan, Chaojie (2021) "Research on Intelligent Gait Recognition Method Based on Plantar Pressure Perception," Journal of System Simulation: Vol. 33: Iss. 11, Article 5.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0768
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss11/5

First Page

2572

Revised Date

2021-08-24

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-FZ0768

Last Page

2578

CLC

TP391.9

Recommended Citation

Liu Xueqin, Liu Ning, Su Zhong, Wang Jingxiao, Yuan Chaojie. Research on Intelligent Gait Recognition Method Based on Plantar Pressure Perception[J]. Journal of System Simulation, 2021, 33(11): 2572-2578.

DOI

10.16182/j.issn1004731x.joss.21-FZ0768