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基于OpenPose计算机视觉算法的健身操能量消耗非接触式测量方法

A Non-contact Method in Estimating Energy Expenditure in Aerobics Based on OpenPose Algorithm

    摘要
  • 摘要:
    目的 基于OpenPose计算机视觉算法（以下简称“OpenPose”）获得的运动学参数，构建并验证一种健身操运动能量消耗的非接触式测量方法。
    方法 通过Qualisys运动捕捉系统验证OpenPose识别关节运动角度的准确性；以COSMED K5便携式气体分析仪测量的能量消耗数据为标准，构建并验证基于OpenPose获得运动学参数的健身操运动能量消耗测量方法。
    结果 OpenPose能较为准确地估算人体运动中大多数关节的运动角度；基于OpenPose的能量消耗估算方法误差较小（MAE=0.81，MSE=1.11，RMSE=1.02，MRE=13.60%），测试精度可达到86.4%。
    结论 初步建立了一种基于OpenPose的非接触式能量消耗测量方法，这种新方法能较为准确而简便地测量健身操运动的能量消耗。

     

    Abstract:
    Objective A non-contact method estimating the energy expenditure of aerobics was established and verified based on OpenPose algorithm.
    Methods The validity of joint angle recognition using OpenPose algorithm was determined with Qualisys motion capture system. Using the energy expenditure measured by COSMED K5 wearable metabolic system as criteria, a novel method based on OpenPose algorithm was established and validated to estimate the energy expenditure of aerobics.
    Result Most joint angles in human movement could be accurately measured by OpenPose algorithm. The error of energy consumption estimation method based on OpenPose computer vision algorithm was fairly good (MAE=0.81, MSE=1.11, RMSE=1.02, MRE=13.60%), and the accuracy could reach 86.4%.
    Conclusion A non-contact measurement method of energy consumption in aerobics based on OpenPose algorithm was thus initially established, which could measure the energy consumption in aerobics both accurately and easily.

     

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