Question related to motion sensor LSM6DSOX
Hi,
We need to use motion sensor LSM6DSOX for position tracking.
We can not use GPS in the system, and the position accuracy we need to achieve is 1 m after moving 11 meters.
So I have a question related to LSM6DSOX :
In the datasheet, the output is linear acceleration, the linear acceleration there means raw acceleration data or the acceleration without gravity components?
Does the machine learning core do sensor fusion, provide temperature compensation for accelerometer and gyroscope bias, and output orientation and linear acceleration (remove gravity)?
What algorithm is used for the sensor fusion in the machine learning core? KF (Madgwick algorithm), EKF or linear optimization algorithm? The reason I would like to know is that we do not need real-time process, so it’s possible for us to process data in a PC, we are thinking to use a more advanced algorithm to improve accuracy. If advance algorithm is already done in the machine learning core, then there is not much accuracy we can improve.
Thank you very much for your time!
With best wishes
Jasmine
