基于足底压力感知的智能步态识别方法研究

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

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (11): 2572-2578.doi: 10.16182/j.issn1004731x.joss.21-FZ0768

基于足底压力感知的智能步态识别方法研究

刘薛勤^1,2, 刘宁^1,2, 苏中^1,2, 王靖骁^1,2, 袁超杰^1,2

1.北京信息科技大学高动态导航技术北京市重点实验室,北京 100192;
2.现代测控技术教育部重点实验室,北京 100101

收稿日期:2021-07-01 修回日期:2021-08-24 出版日期:2021-11-18 发布日期:2021-11-17
通讯作者: 刘宁(1986-),男,博士,副研究员,研究方向为高动态谐振陀螺、惯性器件和导航方法。E-mail：ning.liu@bistu.edu.cn
作者简介:刘薛勤(1998-),男,硕士生,研究方向为人体动态行为识别、智能步态感知。E-mail：liuxqyouxiang@163.com
基金资助:
国家重点研发计划(2020YFC1511702); 国家自然科学基金(61801032); 北京市自然科学基金(4212003,4214071); 高动态导航技术北京市重点实验室

Research on Intelligent Gait Recognition Method Based on Plantar Pressure Perception

Liu Xueqin^1,2, Liu Ning^1,2, Su Zhong^1,2, Wang Jingxiao^1,2, Yuan Chaojie^1,2

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

Received:2021-07-01 Revised:2021-08-24 Online:2021-11-18 Published:2021-11-17

摘要/Abstract

摘要： 针对步态识别的复杂性及准确率差的情况,提出了一种基于足底压力感知的智能步态识别方法,通过采集足底周期性运动步态的压力数据,利用支持向量机对得到的步态数据进行分类,实现对足底压力感知的智能步态识别,并提高步态特征分析的准确率。通过实验验证,分类器的总体分类准确率达到了90%以上,验证了特征提取的合理性。通过评估真实状态与基于足底压力感知的智能步态识别结果,可以得出所提出的方法对步态识别有很高的准确率。

关键词: 足底压力感知, 压力传感器, 智能步态识别, 支持向量机, 无线传输

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.

Key words: plantar pressure perception, pressure sensor, intelligent gait recognition, support vector machine, wireless transmission

中图分类号:

TP391.9

刘薛勤, 刘宁, 苏中, 王靖骁, 袁超杰. 基于足底压力感知的智能步态识别方法研究[J]. 系统仿真学报, 2021, 33(11): 2572-2578.

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.

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基于足底压力感知的智能步态识别方法研究

Research on Intelligent Gait Recognition Method Based on Plantar Pressure Perception

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