A parametric model for saccadic eye movement

Weiwei Dai, Ivan Selesnick, John Ross Rizzo, Janet Rucker, Todd Hudson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a parametric model for saccadic waveforms. The model has a small number of parameters, yet it effectively simulates a variety of physiologic saccade properties. In particular, the model reproduces the established relationship between peak saccadic angular velocity and saccadic amplitude (i.e., the saccadic main sequence). The proposed saccadic waveform model can be used in the evaluation and validation of methods for quantitative saccade analysis. For example, we use the proposed saccade model to evaluate four well-known saccade detection algorithms. The comparison indicates the most reliable algorithm is one by Nystrom et al. We further use the proposed saccade model to evaluate the standard technique used for the estimation of peak saccadic angular velocity. The evaluation shows the occurrence of systematic errors. We thus suggest that saccadic angular velocity values determined by the standard technique (low-pass differentiation) should be interpreted and used with caution.

Original languageEnglish (US)
Title of host publication2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509067138
DOIs
StatePublished - Feb 7 2017
Event2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Philadelphia, United States
Duration: Dec 3 2016 → …

Other

Other2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016
CountryUnited States
CityPhiladelphia
Period12/3/16 → …

Fingerprint

Eye movements
Angular velocity
Systematic errors

Keywords

  • main sequence
  • parametric model
  • saccade

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering

Cite this

Dai, W., Selesnick, I., Rizzo, J. R., Rucker, J., & Hudson, T. (2017). A parametric model for saccadic eye movement. In 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings [7846860] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPMB.2016.7846860

A parametric model for saccadic eye movement. / Dai, Weiwei; Selesnick, Ivan; Rizzo, John Ross; Rucker, Janet; Hudson, Todd.

2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7846860.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dai, W, Selesnick, I, Rizzo, JR, Rucker, J & Hudson, T 2017, A parametric model for saccadic eye movement. in 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings., 7846860, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016, Philadelphia, United States, 12/3/16. https://doi.org/10.1109/SPMB.2016.7846860
Dai W, Selesnick I, Rizzo JR, Rucker J, Hudson T. A parametric model for saccadic eye movement. In 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7846860 https://doi.org/10.1109/SPMB.2016.7846860
Dai, Weiwei ; Selesnick, Ivan ; Rizzo, John Ross ; Rucker, Janet ; Hudson, Todd. / A parametric model for saccadic eye movement. 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017.
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