A Computational Multivariate-based Technique for Inertial Sensor Calibration

Author(s):  
Gaetan Bakalli ◽  
Ahmed Radi ◽  
Naser El-Sheimy ◽  
Roberto Molinari ◽  
St�phane Guerrier
2016 ◽  
Vol 16 (14) ◽  
pp. 5522-5523 ◽  
Author(s):  
Stephane Guerrier ◽  
Roberto Molinari ◽  
James Balamuta

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2110 ◽  
Author(s):  
Long Liu ◽  
Sen Qiu ◽  
ZheLong Wang ◽  
Jie Li ◽  
JiaXin Wang

Coaches and athletes are constantly seeking novel training methodologies in an attempt to improve athletic performance. This paper proposes a method of rowing sport capture and analysis based on Inertial Measurement Units (IMUs). A canoeist’s motion was collected by multiple miniature inertial sensor nodes. The gradient descent method was used to fuse data and obtain the canoeist’s attitude information after sensor calibration, and then the motions of canoeist’s actions were reconstructed. Stroke quality was performed based on the estimated joint angles. Machine learning algorithm was used as the classification method to divide the stroke cycle into different phases, including propulsion-phase and recovery-phase, a quantitative kinematic analysis was carried out. Experiments conducted in this paper demonstrated that our method possesses the capacity to reveal the similarities and differences between novice and coach, the whole process of canoeist’s motions can be analyzed with satisfactory accuracy validated by videography method. It can provide quantitative data for coaches or athletes, which can be used to improve the skills of rowers.


Measurement ◽  
2019 ◽  
Vol 147 ◽  
pp. 106849
Author(s):  
Shashi Poddar ◽  
Amod Kumar

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3959
Author(s):  
Rui Hao ◽  
Huijun Yu ◽  
Bei Peng ◽  
Haixiang Zhan ◽  
Wu Zhou

A micro vibratory platform driven by converse piezoelectric effects is a promising in-situ recalibration platform to eliminate the influence of bias and scale factor drift caused by long-term storage of micro-electro–mechanical system (MEMS) inertial sensors. The calibration accuracy is critically determined by the stable and repeatable vibration of platform, and it is unavoidably impacted by the residual stress of micro structures and lead zirconate titanate (PZT) hysteresis. The abnormal phenomenon of the observed displacement response in experiments was investigated analytically using the stiffness model of beams and hysteresis model of piezoelectric material. Rather than the hysteresis, the initial deflection formed by the residual stress of the beam was identified as the main cause of the response error around the zero position. This conclusion provides guidelines to improve the performance and control of micro vibratory platforms.


Author(s):  
Shashi Poddar ◽  
Vipan Kumar ◽  
Amod Kumar

Inertial measurement unit (IMU) comprising of the accelerometer and gyroscope is prone to various deterministic errors like bias, scale factor, and nonorthogonality, which need to be calibrated carefully. In this paper, a survey has been carried out over different calibration techniques that try to estimate these error parameters. These calibration schemes are discussed under two broad categories, that is, calibration with high-end equipment and without any equipment. Traditional calibration techniques use high-precision equipment to generate references for calibrating inertial sensors and are generally laboratory-based setup. Inertial sensor calibration without the use of any costly equipment is further studied under two subcategories: ones based on multiposition method and others with Kalman filtering framework. Later, a brief review of vision-based inertial sensor calibration schemes is also provided in this work followed by a discussion which indicates different shortcomings and future scopes in the area of inertial sensor calibration.


2020 ◽  
Vol 69 (10) ◽  
pp. 7542-7551 ◽  
Author(s):  
Stephane Guerrier ◽  
Juan Jurado ◽  
Mehran Khaghani ◽  
Gaetan Bakalli ◽  
Mucyo Karemera ◽  
...  

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