Literature DB >> 29576459

Simple and efficient thermal calibration for MEMS gyroscopes.

Alexis Nez1, Laetitia Fradet2, Pierre Laguillaumie1, Tony Monnet1, Patrick Lacouture1.   

Abstract

Gyroscopes are now becoming one of the most sold MEMS sensors, given that the many applications that require their use are booming. In the medical field, gyroscopes can be found in Inertial Measurement Units used for the development of clinical tools that are dedicated to human-movement monitoring. However, MEMS gyroscopes are known to suffer from a drift phenomenon, which is mainly due to temperature variations. This drift dramatically affects measurement capability, especially that of cheap MEMs gyroscopes. Calibration is therefore a key factor in achieving accurate measurements. However, traditional calibration procedures are often complex and require costly equipment. This paper therefore proposes an easy protocol for performing a thermal gyroscope calibration. In this protocol, accuracy over the angular velocity is evaluated by referring to an optoelectronic measurement, and is compared with the traditional calibration performed by the manufacturer. The RMSE between the reference angular velocity and that obtained with the proposed calibration was of 0.7°/s, which was slightly smaller than the RMSE of 1.1°/s achieved by the manufacturer's calibration. An analysis of uncertainty propagation shows that offset variability is the major source of error over the computed rate of rotation from the tested sensors, since it accounts for 97% of the error. It can be concluded that the proposed simple calibration method leads to a similar degree of accuracy as that achieved by the manufacturer's procedure.
Copyright © 2018 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gyroscope; Measurement model; Microelectromechanical system (MEMS); Thermal calibration

Mesh:

Year:  2018        PMID: 29576459     DOI: 10.1016/j.medengphy.2018.03.002

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  3 in total

1.  Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles.

Authors:  Chloé Hatrisse; Claire Macaire; Marie Sapone; Camille Hebert; Sandrine Hanne-Poujade; Emeline De Azevedo; Frederic Marin; Pauline Martin; Henry Chateau
Journal:  Sensors (Basel)       Date:  2022-01-18       Impact factor: 3.576

2.  Automatic Swimming Activity Recognition and Lap Time Assessment Based on a Single IMU: A Deep Learning Approach.

Authors:  Erwan Delhaye; Antoine Bouvet; Guillaume Nicolas; João Paulo Vilas-Boas; Benoît Bideau; Nicolas Bideau
Journal:  Sensors (Basel)       Date:  2022-08-03       Impact factor: 3.847

3.  Comparison of Trotting Stance Detection Methods from an Inertial Measurement Unit Mounted on the Horse's Limb.

Authors:  Marie Sapone; Pauline Martin; Khalil Ben Mansour; Henry Château; Frédéric Marin
Journal:  Sensors (Basel)       Date:  2020-05-25       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.