With a modern IMU with 9 angles of freedom collecting accelerometer, magnetometer and gyroscope data on 3 axis, what would be the best approach on filtering the data and handling it to accurately estimate the forward velocity of the swimmer?My approach was to:1. Use a 3-point moving average to get rid of any vibrations caused by unneeded movements2. Use a median average to get rid of repetitve movements such as shakes or water  resistance3. Perform integration of accelerometer data.At this point, I'm unsure of my data filtering approach. Is there a better approach? What methods should I use for acc. integration?
Estimating forward velocity for a swimmer
predictive modeling;data cleaning;data;estimators