Development of a Non-Linear Smoothing Filter for the Processing of Eye- Movement Signals

Abstract

The analysis of eye-movement (EM) signals poses problems for the designer of smoothing filters since many of the interesting types of EMs are bimodal. Conventional linear, low-pass filters (both finite impulse response (FIR) and infinite impulse response (IIR) types) smear the boundaries between the fast-and slow-phases of nystagmus and the fixation and fast components of saccadic EMs. We have adapted a nonlinear smoothing filter (originally designed to optimise edge preservation in image processing applications) for the smoothing of EM signals. This filter is called Predictive FIR-Median Hybrid (PFMH) filter. The PFMH filter operates on a moving window of data samples centered at the current point of interest. By properly choosing the length and structure of the FIR subfilters, a PFMH filter can be designed to smooth a bimodal EM signal without blurring the boundaries between the two signal components.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA240024

Entities

People

  • Edward J. Engelken
  • John D. Enderle
  • Kennith W. Stevens

Organizations

  • United States Air Force School of Aerospace Medicine

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aerospace Medicine
  • Air Force
  • Air Force Facilities
  • Availability
  • Biomedical Engineering
  • Classification
  • Data Sets
  • Eye Movements
  • Filters
  • Filtration
  • Frequency
  • Low Pass Filters
  • Noise
  • Order Statistics
  • Schools
  • Security
  • Transitions

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Image Processing and Computer Vision.