Recognition method of ship’s officer duty behavior based on channel state information

  • CHEN Jia-ming ,
  • LIU Ke-zhong ,
  • CHEN Mo-zi ,
  • MA Jie ,
  • ZENG Xu-ming
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  • (a.School of Navigation;b.Hubei Provincial Key Laboratory of Inland Navigation Technology,Wuhan University of Technology, Wuhan 430063,China)

Received date: 2020-04-26

  Revised date: 2020-07-20

  Online published: 2020-07-20

Abstract

In order to identify the characteristics of OOW’s watch-keeping behavior more efficiently and intelligently, a method of watch-keeping behavior recognition based on Wi-Fi channel state information (CSI) was proposed. Based on the analysis of the impact of different behaviors on the CSI time and frequency domain during OOW’s watch-keeping process, by extracting the speed characteristics corresponding to different behaviors from CSI, a hidden Markov model (HMM) including three different duty states of OOW as stationary, walking and in situ operation was constructed, and HMM was used to distinguish the human behavior feature sequence to realize the classification of OOW on duty behavior. The test on board proves that the proposed method has higher accuracy and robustness, and the average identifying accuracy of different duty states can reach 90.3%, which can provide help for intelligent shipping supervision and ship navigation safety.

Cite this article

CHEN Jia-ming , LIU Ke-zhong , CHEN Mo-zi , MA Jie , ZENG Xu-ming . Recognition method of ship’s officer duty behavior based on channel state information[J]. Journal of Dalian Maritime University, 2020 , 46(3) : 68 -75 . DOI: 10.16411/j.cnki.issn1006-7736.2020.03.008

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