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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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Anatomical Calibration through Post-Processing of Standard Motion Tests Data.

Weisheng Kong1, Salvatore Sessa2, Massimiliano Zecca3,4,5

  • 1Graduate School of Advanced Science and Engineering, Waseda University, Tokyo 169-8555, Japan. kong.ws@fuji.waseda.jp.

Sensors (Basel, Switzerland)
|December 6, 2016
PubMed
Summary

This study introduces a new method for anatomical calibration (AC) using standard movements like walking. This technique improves human motion tracking accuracy with inertial measurement units (IMUs) without extra calibration steps.

Keywords:
accelerometeranatomical calibrationfunctional calibrationinertial measurement unitmotion testprincipal component analysissagittal planesensor-to-body alignmentsit-to-standwalking

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Area of Science:

  • Biomechanics
  • Wearable Technology
  • Sensor Calibration

Background:

  • Inertial Measurement Units (IMUs) are crucial for human motion tracking.
  • Accurate sensor-to-body alignment (anatomical calibration) is vital for IMU data reliability.
  • Existing anatomical calibration methods often require specific, extra movements or are joint-specific.

Purpose of the Study:

  • To develop and validate a novel anatomical calibration method for IMUs using standard daily activities.
  • To compare the proposed method's effectiveness against traditional, specialized calibration movements.
  • To eliminate the need for additional, non-standard movements during IMU-based motion tracking experiments.

Main Methods:

  • Proposed a novel anatomical calibration (AC) method utilizing principal component analysis on medial-lateral acceleration to estimate the sagittal plane.
  • Estimated vertical direction from acceleration during quiet stance.
  • Compared AC results from standard motions (walking, sit-to-stand) with those from dedicated calibration movements.

Main Results:

  • Demonstrated good correlation between AC from standard motions and dedicated movements across various body segments (head, trunk, lower limbs).
  • Verified the repeatability and convergence of the proposed AC method.
  • Achieved comparable AC results to specialized movements for most body parts, except the feet, using walking and sit-to-stand.

Conclusions:

  • Standard movements like walking and sit-to-stand can effectively replace specialized movements for anatomical calibration (AC) of IMUs.
  • The proposed method allows for post-processing of existing motion data to recover experiments without prior AC.
  • This approach significantly reduces experimental burden by avoiding extra calibration movements.