Title :
Autocalibration of MEMS Accelerometer
Author :
Frosio, I. ; Stuani, S. ; Borghese, N.A.
Author_Institution :
Dept. of Comput. Sci., Milan Univ.
Abstract :
In this paper, we present an autocalibration procedure for tri-axial MEMS accelerometers, which allows increasing the accuracy of this kind of micro-sensors. This makes them usable for the analysis of the human movement. The procedure is based on the constancy of the module of the accelerometer output in static condition, and it is formulated and resolved as a non linear least squares problem. The calibrated output of the MEMS compares favorably with that obtained from a traditional motion capture system. Quantitative results are reported and discussed
Keywords :
accelerometers; calibration; least squares approximations; microsensors; motion estimation; MEMS accelerometer; accelerometer autocalibration; human movement analysis; microsensors; motion capture system; nonlinear least squares problem; Acceleration; Accelerometers; Calibration; Instrumentation and measurement; Micromechanical devices; Position measurement; Sensor systems; Surgery; Temperature sensors; Voltage; MEMS; accelerometer; autocalibration; motion capture;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328554
