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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Signal Quality Improvement Algorithms for MEMS Gyroscope-Based Human Motion Analysis Systems: A Systematic Review
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Signal Quality Improvement Algorithms for MEMS Gyroscope-Based Human Motion Analysis Systems: A Systematic Review

机译：基于MEMS陀螺仪的人体运动分析系统的信号质量改善算法：系统综述

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摘要

Motion sensors such as MEMS gyroscopes and accelerometers are characterized by a small size, light weight, high sensitivity, and low cost. They are used in an increasing number of applications. However, they are easily influenced by environmental effects such as temperature change, shock, and vibration. Thus, signal processing is essential for minimizing errors and improving signal quality and system stability. The aim of this work is to investigate and present a systematic review of different signal error reduction algorithms that are used for MEMS gyroscope-based motion analysis systems for human motion analysis or have the potential to be used in this area. A systematic search was performed with the search engines/databases of the ACM Digital Library, IEEE Xplore, PubMed, and Scopus. Sixteen papers that focus on MEMS gyroscope-related signal processing and were published in journals or conference proceedings in the past 10 years were found and fully reviewed. Seventeen algorithms were categorized into four main groups: Kalman-filter-based algorithms, adaptive-based algorithms, simple filter algorithms, and compensation-based algorithms. The algorithms were analyzed and presented along with their characteristics such as advantages, disadvantages, and time limitations. A user guide to the most suitable signal processing algorithms within this area is presented.
机译：诸如MEMS陀螺仪和加速度计之类的运动传感器具有体积小，重量轻，灵敏度高和成本低的特点。它们用于越来越多的应用程序中。但是，它们很容易受到诸如温度变化，冲击和振动等环境影响的影响。因此，信号处理对于最小化错误并改善信号质量和系统稳定性至关重要。这项工作的目的是研究并提出对不同信号误差减少算法的系统综述，这些算法已用于基于MEMS陀螺仪的人体运动分析系统或有潜力在该领域中使用。使用ACM数字图书馆，IEEE Xplore，PubMed和Scopus的搜索引擎/数据库进行了系统的搜索。找到并全面审查了16篇专注于MEMS陀螺仪相关信号处理的论文，这些论文在过去10年的期刊或会议论文集中发表。十七种算法分为四大类：基于卡尔曼滤波器的算法，基于自适应的算法，简单滤波器算法和基于补偿的算法。对算法进行了分析和介绍，以及它们的优点，缺点和时间限制。给出了该区域内最合适的信号处理算法的用户指南。

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