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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
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Published on: April 21, 2017

Performance comparison of accelerometer calibration algorithms based on 3D-ellipsoid fitting methods.

Matthias Gietzelt1, Klaus-Hendrik Wolf, Michael Marschollek

  • 1Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig - Institute of Technology and Hannover Medical School, Mühlenpfordtstr. 23, D-38106 Braunschweig, Germany. Matthias.Gietzelt@plri.de

Computer Methods and Programs in Biomedicine
|April 10, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a fast, non-iterative accelerometer calibration algorithm that minimizes execution time and memory usage. The new method offers superior performance for real-time data analysis and sensor node implementation.

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Area of Science:

  • Sensor Technology
  • Signal Processing
  • Metrology

Background:

  • Accelerometer calibration is crucial due to environmental and internal factor drift.
  • Existing calibration methods often require iterative processes, impacting real-time applications.
  • There is a need for efficient algorithms for continuous, on-the-fly calibration.

Purpose of the Study:

  • To propose a novel, non-iterative accelerometer calibration algorithm.
  • To minimize execution time and memory footprint for fast, online analyses.
  • To benchmark the proposed algorithm against existing 3D-ellipsoid fitting methods.

Main Methods:

  • Developed a non-iterative algorithm for 3D-ellipsoid fitting.
  • Compared algorithm performance based on calibration quality, execution time, and measurement count.
  • Evaluated calibration using real-life and simulated data, focusing on measurement norms during inactivity.

Main Results:

  • The proposed non-iterative algorithm demonstrated the shortest execution time among tested methods.
  • Achieved high calibration quality with a minimal number of quasi-static measurements.
  • Successfully implemented the algorithm on a sensor node for on-the-fly calibration.

Conclusions:

  • The novel non-iterative algorithm provides a fast and efficient solution for accelerometer calibration.
  • Suitable for resource-constrained environments and real-time data processing.
  • Offers a significant improvement over existing iterative calibration techniques.