传感技术学报2026，Vol.39Issue(2)：227-237,11.DOI:10.3969/j.issn.1004-1699.2026.02.001
机器学习在惯性传感中的应用研究进展
Review on the Application of Machine Learning on Inertial Sensing
高莉莉 1魏鸿飞 1黄立坤 1刘达 1任青颖2
作者信息
- 1. 安徽北方华鑫智感科技有限公司,安徽 蚌埠 233000
- 2. 南京邮电大学电子与光学工程学院,江苏 南京 210023
- 折叠
摘要
Abstract
With the rapid development of microelectromechanical systems(MEMS)technology,inertial sensors have been widely used in military,civil and special fields(e.g.,deep-sea exploration,seismic monitoring)due to their advantages of small size,low power con-sumption and light weight.The progress of machine learning application in inertial sensing is systematically reviewed,focusing on its ap-plication in key technologies such as sensor calibration and error compensation,multi-sensor information fusion,navigation and localisa-tion,motion recognition and behaviour analysis.By analysing algorithms such as support vector machines,neural networks and reinforce-ment learning,the remarkable effectiveness of machine learning in enhancing the accuracy,robustness and adaptability of inertial sensing is summarised.By providing a comprehensive overview of the application of machine learning in inertial sensing,readers from di-verse backgrounds,including researchers and practitioners interested in the potential of machine learning-based techniques on enhancing inertial sensing,are appealed to promote the further development of inertial sensing technology.Finally,the advantages and challenges of machine learning-based inertial sensing are summarised and future research directions are proposed.关键词
惯性传感/机器学习/误差补偿/多传感器融合/惯性导航/运动行为分析Key words
inertial sensing/machine learning/error compensation/multi-sensor fusion/inertial navigation/motion behaviour analysis分类
信息技术与安全科学引用本文复制引用
高莉莉,魏鸿飞,黄立坤,刘达,任青颖..机器学习在惯性传感中的应用研究进展[J].传感技术学报,2026,39(2):227-237,11.
