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Published on: August 30, 2016
Method for testing motion analysis laboratory measurement systems.
Marko J Hakkarainen1, Timo Bragge, Tuomas Liikavainio
1Department of Physics and Mathematics, University of Eastern Finland, Kuopio, Finland. marko.hakkarainen@uef.fi
This study introduces an expanded motion laboratory accreditation test (MLAT) to compare accelerometer data with optical 3D motion capture and force platforms (FPs). The method enhances laboratory testing for motion analysis systems.
Area of Science:
- Biomechanics
- Motion Analysis
- Sensor Technology
Background:
- Motion analysis laboratories rely on accurate data from force platforms (FPs) and optical 3D motion capture systems.
- Standardized testing protocols are crucial for accrediting motion analysis laboratories.
- Integrating accelerometer data into existing testing frameworks presents a challenge.
Purpose of the Study:
- To extend the motion laboratory accreditation test (MLAT) for comparing accelerometer data with optical 3D motion capture and force platforms.
- To develop a method for assessing spatial and temporal differences between these measurement systems.
- To validate the use of accelerometers within established motion analysis laboratory accreditation procedures.
Main Methods:
- Accelerometers were mounted on a device analogous to the MLAT rod.
- The elevation of the rod was computed and compared against force platform vector orientation and optical motion capture data.
- Nonlinear equations describing acceleration components were solved using the Gauss-Newton method.
Main Results:
- The study successfully integrated accelerometer data into the MLAT framework.
- The proposed method allows for the comparison of orientation data from accelerometers, optical systems, and force platforms.
- The Gauss-Newton method provided an effective solution for estimating device orientation.
Conclusions:
- The expanded MLAT procedure provides a comprehensive method for validating motion analysis laboratories.
- This approach is applicable in settings utilizing force platforms, optical motion capture, or other systems alongside accelerometers.
- The study enhances the reliability and comparability of data from diverse motion sensing technologies.
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