Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (6): 1-7.doi: 10.16180/j.cnki.issn1007-7820.2020.06.001

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Human Gait Recognition and Identification with Passive RFID

WANG Ge,XI Wei,DING Han,ZHAO Kun,ZHAO Jizhong   

  1. Faculty of Electronic and Engineering,Xi’an Jiaotong University,Xi’an 710049,China
  • Received:2020-04-06 Online:2020-06-15 Published:2020-06-18
  • Supported by:
    National Natural Science Foundation of China(61802299)


As a rising biometric features recognition technology, human gait recognition has the advantages of long distance and difficult to be forged. As a result, human gait recognition has been widely used in many applications, including smart monitoring system. Current human gait recognition methods have their own problems of complex algorithms calculation, high user participation and extra hardware requirements. Aiming at these problems, a new method for user gait recognition based on passive radio frequency technology was proposed in this study. This method used the passive radio frequency tags that have been widely deployed in the access control system. The proposed method calculated the dynamic moving speed of the user by analyzing the phase profiles of tags, compensated the samples by considering multiple signal profiles of tags, and extracted the frequency domain recognition features. The experiments showed that this method could achieve an accuracy up to 91.87% , and the time delay was only 0.129 s. In conclusion, this method realized a highly efficient and accurate human gait recognition and identification with limited training data and user participation.

Key words: passive RFID, human gait recognition, human movement detection, mobile computing, wireless sensing, internet of things, user identification, biometric features recognition

CLC Number: 

  • TP391