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Erschienen in:
2025 | OriginalPaper | Buchkapitel
A Method for Estimating the Force Applied on the Forearm Using PPG Sensors
verfasst von : Ryo Watabe, Kazuya Murao
Erschienen in: Advances in Mobile Computing and Multimedia Intelligence
Verlag: Springer Nature Switzerland
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Abstract
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.
