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This study proposes estimating forearm pressure using a PPG sensor in a smartwatch or activity meter. The method involves creating a regression model that estimates the applied pressure by analyzing changes in the local maximum values of pulse waves before and after the pressure is applied. Experiments with five subjects evaluated the method. The individual evaluation model, using only the user’s data, had an average coefficient of determination of 0.57 and an MAE of 1.60 Kg. The total evaluation model, using all subjects’ data, had a coefficient of determination of 0.53 and an MAE of 1.97 Kg.

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A Method for Estimating the Force Applied on the Forearm Using PPG Sensors

  • 会议论文

  • 发表日期：

    2025年

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  • Ryo Watabe,
  • Kazuya Murao

摘要

This study proposes estimating forearm pressure using a PPG sensor in a smartwatch or activity meter. The method involves creating a regression model that estimates the applied pressure by analyzing changes in the local maximum values of pulse waves before and after the pressure is applied. Experiments with five subjects evaluated the method. The individual evaluation model, using only the user’s data, had an average coefficient of determination of 0.57 and an MAE of 1.60 Kg. The total evaluation model, using all subjects’ data, had a coefficient of determination of 0.53 and an MAE of 1.97 Kg.