Journal of System Simulation ›› 2021, Vol. 33 ›› Issue (11): 2572-2578.doi: 10.16182/j.issn1004731x.joss.21-FZ0768

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Research on Intelligent Gait Recognition Method Based on Plantar Pressure Perception

Liu Xueqin1,2, Liu Ning1,2, Su Zhong1,2, Wang Jingxiao1,2, Yuan Chaojie1,2   

  1. 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

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

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