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Calibration of Deterministic Errors in Accelerometer Data of Commercial IMU System

Research output: Chapter in Book/InformConference contribution

Abstract

This paper calibrates deterministic errors in accelerometer data from 20 commercial Movella DOT IMUs across four institutions. Applying Jeff Ferguson’s calibration of deterministic errors through a six-point tumble test, we assess accuracy and precision. The results show fixed bias/offset as the dominant error, with larger errors in the z axis. Calibration significantly improves precision and accuracy for gravity-aligned measurements, regardless of institution or axis. Although less effective near-zero values due to sensor sensitivity, this research confirms the method’s effectiveness for enhancing IMU data reliability.

Original languageEnglish (US)
Title of host publicationProceedings of the 21st International Symposium on Medical Information Processing and Analysis, SIPAIM 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331554569
DOIs
StatePublished - 2025
Event21st International Symposium on Medical Information Processing and Analysis, SIPAIM 2025 - Pasto, Colombia
Duration: Nov 19 2025Nov 21 2025

Publication series

NameProceedings of the 21st International Symposium on Medical Information Processing and Analysis, SIPAIM 2025

Conference

Conference21st International Symposium on Medical Information Processing and Analysis, SIPAIM 2025
Country/TerritoryColombia
CityPasto
Period11/19/2511/21/25

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modeling and Simulation
  • Health Informatics
  • Radiology Nuclear Medicine and imaging

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