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Updated: Dec 23, 2025

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
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Computationally Efficient 3D Orientation Tracking Using Gyroscope Measurements.

Sara Stančin1, Sašo Tomažič1

  • 1Faculty of Electrical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia.

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Summary
This summary is machine-generated.

Efficient 3D orientation (3DO) tracking for wearables is achieved by using the Simultaneous Orthogonal Rotation Angle (SORA) method. This approach significantly reduces computational load and energy consumption, enhancing device usability.

Keywords:
3D gyroscope3D orientationSORAangular velocitycomputational efficiencymotion tracking

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Area of Science:

  • Wearable technology
  • Sensor data processing
  • Computational efficiency

Background:

  • Wearable devices require low power consumption and fast processing for 3D orientation (3DO) tracking.
  • Existing methods like Euler angles are computationally intensive, limiting performance and battery life.

Purpose of the Study:

  • To improve the computational efficiency of 3DO tracking using gyroscope data.
  • To demonstrate significant reductions in execution time and energy usage for wearable devices.

Main Methods:

  • Interpreting gyroscope measurements as simultaneous rotations using the Simultaneous Orthogonal Rotation Angle (SORA) vector.
  • Optimizing SORA-based 3DO tracking for low-power ARM Cortex M0+ microcontrollers using integer arithmetic and lookup tables.
  • Comparing the computational efficiency of rotation matrices versus rotation quaternions for 3DO calculations.

Main Results:

  • SORA reduces measurement steps by 35-78 times compared to Euler angles for 90° rotations.
  • SORA-based tracking is 12-14 times faster on ARM Cortex M0+ microcontrollers.
  • Rotation matrices are 1.85x faster for per-step calculations, while quaternions are 1.75x faster for final results.

Conclusions:

  • The SORA method offers substantial computational advantages for 3DO tracking.
  • Optimized 3DO tracking significantly reduces processor clock frequency, extending device energy autonomy.
  • These advancements enhance the practicality and usability of wearable devices for daily measurements.