Name
Abstract | ||
|---|---|---|
Analysis of eye movement has attracted a lot of attention recently in terms of exploring areas of people's interest, cognitive ability, and skills. The basis for eye movement usage in these applications is the detection of its main componentsnamely, fixations and saccades, which facilitate understanding of the spatiotemporal processing of a visual scene. In the presented research, a novel approach for the detection of eye movement events is proposed, based on the concept of approximate entropy. By using the multiresolution time-domain scheme, a structure entitled the Multilevel Entropy Map was developed for this purpose. The dataset was collected during an experiment utilizing the jumping point paradigm. Eye positions were registered with a 1000 Hz sampling rate. For event detection, the knn classifier was applied. The best classification efficiency in recognizing the saccadic period ranged from 83% to 94%, depending on the sample size used. These promising outcomes suggest that the proposed solution may be used as a potential method for describing eye movement dynamics. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/e21020107 | ENTROPY |
Keywords | Field | DocType |
eye movement,eye movement events detection,approximate entropy,multiresolution analysis,time-scale decomposition | Mathematical optimization,Approximate entropy,Fixation (psychology),Pattern recognition,Multiresolution analysis,Eye movement,Artificial intelligence,Classifier (linguistics),Saccadic masking,Cognition,Sample size determination,Mathematics | Journal |
Volume | Issue | ISSN |
21 | 2 | 1099-4300 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katarzyna Harezlak | 1 | 45 | 11.59 |
| Dariusz Rafal Augustyn | 2 | 33 | 8.01 |
| Pawel Kasprowski | 3 | 76 | 12.99 |