Investigation of the Kalman filter in problems of increasing the accuracy of measurements using MEMS (9 axis) motion sensors

The main task of this article is to synthesize an adaptive filter for use in the motion analysis system. The use of the synthesized Kalman filter is aimed at adapting the noisy data of the MEMS sensor to the data obtained as a result of calculations of the movement of a well-known character. Adaptation of the sensor displays allows to increase the accuracy of measurements of motion parameters without using an excessive set of measuring devices.