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 language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509067138 |
| DOIs | |
| State | Published - Feb 7 2017 |
| Event | 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Philadelphia, United States Duration: Dec 3 2016 → … |
Other
| Other | 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 |
|---|---|
| Country | United States |
| City | Philadelphia |
| Period | 12/3/16 → … |
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Keywords
- main sequence
- parametric model
- saccade
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - A parametric model for saccadic eye movement
AU - Dai, Weiwei
AU - Selesnick, Ivan
AU - Rizzo, John Ross
AU - Rucker, Janet
AU - Hudson, Todd
PY - 2017/2/7
Y1 - 2017/2/7
N2 - 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.
AB - 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.
KW - main sequence
KW - parametric model
KW - saccade
UR - http://www.scopus.com/inward/record.url?scp=85015979930&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015979930&partnerID=8YFLogxK
U2 - 10.1109/SPMB.2016.7846860
DO - 10.1109/SPMB.2016.7846860
M3 - Conference contribution
BT - 2016 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -