Name
Title | ||
|---|---|---|
Localization of eye Saccadic signatures in Electrooculograms using sparse representations with data driven dictionaries |
Abstract | ||
|---|---|---|
In this paper, we propose two methods for localizing saccadic eye movement signatures from Electrooculograms (EOG). The first approach uses a sparse representation of data-driven dictionaries of saccadic movements. In this approach, we match the EOG subsequence with the dictionary element using distance metrics to identify the saccades. The second approach is to compare a saccadic signature template with the EOG subsequence using Dynamic Time Warping (DTW). We find that the proposed methods have advantages over one another in context specific applications. The first method is significantly faster with considerable accuracy, while the second approach is more accurate. (C) 2017 Elsevier B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2017.11.001 | PATTERN RECOGNITION LETTERS |
Keywords | DocType | Volume |
EOG,Saccades,Sparse representation,DTW,Distance metric | Journal | 139 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suvodip Chakraborty | 1 | 7 | 1.22 |
| Anirban Dasgupta | 2 | 14 | 2.44 |
| Aurobinda Routray | 3 | 337 | 52.80 |