Low-power metabolic equivalents estimation algorithm using adaptive acceleration sampling.
Authors: Izumi S, Kawaguchi H, Nakai Y, Nakanishi M, Tsukahara M, Yoshimoto M,
Related Products: Actiwave,
Publication Date: October 18, 2016
This paper describes a proposed low-power metabolic equivalent estimation algorithm that can calculate the value of metabolic equivalents (METs) from triaxial acceleration at an adaptively changeable sampling rate. This algorithm uses four rates of 32, 16, 8 and 4 Hz. The mode of switching them is decided from synthetic acceleration. Applying this proposed algorithm to acceleration measured for 1 day, we achieved the low root mean squared error (RMSE) of calculated METs, with current consumption that was 41.5 % of the value at 32 Hz, and 75.4 % of the value at 16 Hz.
Journal: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016 Aug 16 (pp. 1878-1881). IEEE.
Keywords: accelerometer, accelerometry, classification algorithms, mathematical model, METs, power demand,
Applications: Energy Expenditure,
CamNtech Reference: MN16001
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