Optimal Experimental Design for In-Field Calibration of a Nine-Parameter Triaxial Magnetometers Model-Reference-Cited by-同舟云学术

Optimal Experimental Design for In-Field Calibration of a Nine-Parameter Triaxial Magnetometers Model

Published:2024-06-01 Issue:11 Volume:24 Page:17579-17587
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yu Hairong¹^ORCID,Guo Ying²^ORCID,Ye Lin³^ORCID,Su Steven Weidong⁴^ORCID

Affiliation:

1. Key Laboratory of Child Development and Learning Science of the Ministry of Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, China

2. Data61, Commonwealth Scientific and Industrial Research Organization, Marsfield, NSW, Australia

3. Shanghai Enjoy Move Technology Company Ltd., Shanghai, China

4. College of Artificial Intelligence and Big Data for Medical Science, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China

Funder

National Natural Science Foundation of China

Zhishan Youth Scholar Support Program of Southeast University

Academic Promotion Project of Shandong First Medical University

Shandong Key Research and Development Plan (Major Innovation Project) Key Technologies for 3-D Spine Digitalization and Human–Machine Collaborative Intelligent Equipment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10546898/10505159.pdf?arnumber=10505159

Reference21 articles.

1. Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges

2. Autocalibration of MEMS Accelerometers

3. A Triaxial Accelerometer Calibration Method Using a Mathematical Model

4. Self-Calibration of Accelerometer Arrays

5. Automatic and adaptive calibration of 3D field sensors