Acta Photonica Sinica, Volume. 52, Issue 12, 1206003(2023)

Human Posture Recognition Based on FBG Flexible Sensors

Yan WANG*, Junliang WANG, Wei ZHU, Haoyu XU, and Chao JIANG
Author Affiliations
  • School of Electrical Information and Engineering,Anhui University of Technology,Ma'anshan 243032,China
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    Figures & Tables(13)
    Basic working principle of FBG
    Model meshing and simulated plantar pressure distribution cloud map
    K fold cross verification
    Specific flow of KCV-SVR
    Location and spectral diagram of FBG sensor
    Relationship between FBG sensors and pressure
    Different postures of participants
    The center wavelength deviation of FBG in standing and one-legged standing posture
    Parameter selection of KCV method(K=5)
    Prediction results of SVR and KCV-SVR chart
    SVR and KCV-SVR prediction errors
    • Table 1. Material parameter

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      Table 1. Material parameter

      MaterialYoung's modulus/MPaPoisson' ratioDensity/(kg·m-3
      Soft tissue0.450.49937
      Skeleton7 3000.301 500
      Silica gel1 2000.481 084
    • Table 2. Evaluation indexes of the two models

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      Table 2. Evaluation indexes of the two models

      ModelRMSEMAER2
      SVR0.510 60.132 30.967 7
      KCV-SVR0.050 20.044 60.999 6
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    Yan WANG, Junliang WANG, Wei ZHU, Haoyu XU, Chao JIANG. Human Posture Recognition Based on FBG Flexible Sensors[J]. Acta Photonica Sinica, 2023, 52(12): 1206003

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: May. 15, 2023

    Accepted: Jul. 5, 2023

    Published Online: Feb. 19, 2024

    The Author Email: WANG Yan (wangyan@ahut.edu.cn)

    DOI:10.3788/gzxb20235212.1206003

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