ReviewMicromachines2022
MEMS Inertial Sensor Calibration Technology: Current Status and Future Trends.
Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- Design, Implementation and Calibration of Analog Gyro-Based Angular Rate Data Acquisition System for High-Spinning Rotation Rate Applications.Sensors (Basel, Switzerland) · 2026Article
- Data-Driven Fusion Algorithms for Temperature-Drift Compensation of MEMS Gyroscopes: A Mini Review.Micromachines · 2026Review
- Digital methods to quantify sensor output uncertainty in real time.Communications engineering · 2026Article
- A Physics-Data Hybrid Framework Using Uncalibrated Consumer CMOS Vision: Pilot Study on Monocular Automatic TUG Assessment Towards Early Parkinson's Disease Risk Screening.Micromachines · 2026Article
- Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT.Micromachines · 2026Article
- Optimal Low-Cost MEMS INS/GNSS Integrated Georeferencing Solution for LiDAR Mobile Mapping Applications.Sensors (Basel, Switzerland) · 2025Article
- Temperature Hysteresis Calibration Method of MEMS Accelerometer.Sensors (Basel, Switzerland) · 2025Article
- Camera, LiDAR, and IMU Spatiotemporal Calibration: Methodological Review and Research Perspectives.Sensors (Basel, Switzerland) · 2025Review
- Advances in Bio-Microelectromechanical System-Based Sensors for Next-Generation Healthcare Applications.ACS omega · 2025Review
- Fruit-Fly-Optimized Weighted Averaging Algorithm for Data Fusion in MEMS IMU Array.Micromachines · 2025Article
- A multi-method framework for establishing an angular acceleration reference in sensor calibration and uncertainty quantification.Communications engineering · 2025Article
- Research on Flexible Sensors for Wearable Devices: A Review.Nanomaterials (Basel, Switzerland) · 2025Review
- Dynamic Multi-Axis Calibration of MEMS Accelerometers for Sensitivity and Linearity Assessment.Sensors (Basel, Switzerland) · 2025Article
- Neural Network Methods in the Development of MEMS Sensors.Micromachines · 2024Review
- The Utility of Calibrating Wearable Sensors before Quantifying Infant Leg Movements.Sensors (Basel, Switzerland) · 2024Article
- A Method of Precise Auto-Calibration in a Micro-Electro-Mechanical System Accelerometer.Sensors (Basel, Switzerland) · 2024Article
- Responsiveness and Precision of Digital IMUs under Linear and Curvilinear Motion Conditions for Local Navigation and Positioning in Advanced Smart Mobility.Micromachines · 2024Article
- A Novel Machine Learning-Based ANFIS Calibrated RISS/GNSS Integration for Improved Navigation in Urban Environments.Sensors (Basel, Switzerland) · 2024Article
- Decreased wrist rotation imitation abilities in children with autism spectrum disorder.Frontiers in psychiatry · 2024Article
- A fast strapdown gyrocompassing algorithm based on INS differential errors.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
A review of various calibration techniques of MEMS inertial sensors is presented in this paper. MEMS inertial sensors are subject to various sources of error, so it is essential to correct these errors through calibration techniques to improve the accuracy and reliability of these sensors. In this paper, we first briefly describe the main characteristics of MEMS inertial sensors and then discuss some common error sources and the establishment of error models. A systematic review of calibration methods for inertial sensors, including gyroscopes and accelerometers, is conducted. We summarize the calibration schemes into two general categories: autonomous and nonautonomous calibration. A comprehensive overview of the latest progress made in MEMS inertial sensor calibration technology is presented, and the current state of the art and development prospects of MEMS inertial sensor calibration are analyzed with the aim of providing a reference for the future development of calibration technology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.