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Eddy currents can produce significant drag on motion, called magnetic damping. For instance, when a metallic pendulum bob swings between the poles of a strong magnet, significant drag acts on the bob as it enters and leaves the field, quickly damping the motion.
If, however, the bob is a slotted metal plate, the magnet produces a much smaller effect. When a slotted metal plate enters the field, an emf is induced by the change in flux; however, it is less effective because the slots limit the...
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Noise Reduction for a MEMS-Gyroscope-Based Head Mouse.

Jiaying Du1, Christer Gerdtman2, Maria Lindén1

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|May 19, 2015
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This study evaluated four noise reduction algorithms for MEMS-gyroscope head mice. The Weighted Fourier Linear Combiner (WFLC) algorithm proved most effective for improving assistive technology systems.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing

Background:

  • MEMS-gyroscopes are integral to modern electronics, offering compact and cost-effective motion sensing.
  • The MultiPos system, a MEMS-gyroscope-based head mouse, aids individuals with movement disorders but suffers from physiological tremor and electrical noise.
  • Effective noise reduction is crucial for the reliable operation of assistive computer input devices.

Purpose of the Study:

  • To evaluate and compare four distinct signal processing algorithms for noise reduction in a MEMS-gyroscope-based computer head mouse.
  • To identify the most effective algorithm for minimizing noise in the MultiPos system.
  • To enhance the usability and performance of assistive technology for individuals with movement disorders.

Main Methods:

  • Four algorithms were investigated: low-pass filter, Least Mean Square (LMS), Kalman filter, and Weighted Fourier Linear Combiner (WFLC).
  • Simulations were conducted using MATLAB, and implementations were performed on a dsPIC microcontroller.
  • System tests and comparative analyses were employed to assess algorithm performance.

Main Results:

  • All four evaluated signal processing algorithms demonstrated potential for improving the MultiPos system's performance.
  • The Weighted Fourier Linear Combiner (WFLC) algorithm exhibited superior noise reduction capabilities compared to the other methods.
  • Implementation on a dsPIC confirmed the feasibility of real-time noise reduction.

Conclusions:

  • Signal processing algorithms significantly enhance the performance of MEMS-gyroscope-based head mouse systems.
  • The WFLC algorithm is identified as the optimal choice for noise reduction in this specific application.
  • This research contributes to the advancement of assistive technologies by improving the reliability of head mouse input devices.