Fuzzy merging of MEMS accelerometers and gyroscopes measurements
Petia Koprinkova‐Hristova, Kiril M. Alexiev · 2016
The work presents the design of a fuzzy rule base aimed at intelligent merging of measurements by the two sensor types in a Micro Electro-Mechanical Sensor (MEMS) device - accelerometers and three gyroscopes placed on the three axes in the 3D space. The idea aroused from the available expert knowledge how to merge the measurements from both sensors in order to asses inertial force vectors on three space axes. The proposed method is tested on the measurement data collected from a MEMS device placed in a mobile phone. The results demonstrated ability of the proposed fuzzy merging approach to compensate inaccurate readings from the accelerometer during a rotation around one of the phone axis.