white gaussian noise generated through the matlab wgn function  (MathWorks Inc)

Journal: Scientific Reports

Article Title: Measurement of temporal and spatial parameters of ice hockey skating using a wearable system

doi: 10.1038/s41598-022-26777-9

Figure Lengend Snippet: The skater's velocity and trajectory are obtained by time integration and double-time integration of the free acceleration obtained by the IMUs. Methods were originally proposed (S1–S4) to remove the drift in these integration processes.

Article Snippet: S2 , (i) Similar to S1.i (ii) Generate white Gaussian noise using a MATLAB wgn function (input arguments: the signal-to-noise ratio: − 15 decibels (dB), and its length equal to the sensor acceleration time series). Then scale it to match the corrected sensor acceleration amplitude range in the selected resting period. Afterward, subtract the obtained output from the corrected sensor acceleration time series and store it as corrected acceleration time series (iii) Calculate the corrected free acceleration (during motion) using the corrected acceleration time series (output of S2.ii) and the sensor orientation (iv) Similar to S1.iii.

Techniques: