Infrared and Laser Engineering, Volume. 51, Issue 4, 20210188(2022)

Human motion recognition method based on pyroelectric infrared sensor

Xiaobing Xu, Taotao Zuo*, Baishun Sun, Qiyue Li, and Gang Wu
Author Affiliations
  • School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
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    Figures & Tables(14)
    System overall structure diagram
    Internal structure of PIR
    Sensor node reference model
    Experimental real picture
    Diagram of one-dimensional convolutional neural network structure
    Diagram of GRU network structure
    Structure diagram of 1DCNN-GRU model
    Flowchat of algorithm implementation
    Original signal diagram of five actions
    Loss function of the model
    Training accuracy of the model
    • Table 1. Parameter settings for 1DCNN-GRU model

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      Table 1. Parameter settings for 1DCNN-GRU model

      Layer(type)Output shapeParameter
      Conv1 d_1(Conv1D)(None,1200,256)1536
      Max_poolingld_1(None,300,256)0
      Conv1 d_2(Conv1D)(None,300,128)98432
      Max_poolingld_2(None,75,128)0
      Conv1 d_3(Conv1D)(None,75,64)24640
      Max_poolingld_3(None,18,64)0
      gru_1(GRU)(None,256)246528
      Dense_1(Dense)(None,32)8224
      dense_2(Dense)(None,5)165
    • Table 2. Accuracy of 5 types of action classification

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      Table 2. Accuracy of 5 types of action classification

      Action categoryRecognition accuracy
      Run98%
      Walk100%
      Sit100%
      Stand100%
      Fall95%
    • Table 3. Performance comparison of different models

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      Table 3. Performance comparison of different models

      Network modelAccuracyTraining time/s
      1DCNN93.8%178
      GRU88.6%467
      LSTM91.8%543
      1DCNN-LSTM98.6%245
      1DCNN-GRU98.8%195
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    Xiaobing Xu, Taotao Zuo, Baishun Sun, Qiyue Li, Gang Wu. Human motion recognition method based on pyroelectric infrared sensor[J]. Infrared and Laser Engineering, 2022, 51(4): 20210188

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    Paper Information

    Category: Image processing

    Received: Mar. 19, 2021

    Accepted: --

    Published Online: May. 18, 2022

    The Author Email: Taotao Zuo (zuotaotao060@163.com)

    DOI:10.3788/IRLA20210188

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