A cost function to determine the optimum filter and parameters for stabilizing gaze data
Prior to delivery of data, eye tracker software may apply filtering to correct for noise. Although filtering produces much better precision of data, it may add to the time it takes for the reporting of gaze data to stabilise after a saccade due to the usage of a sliding window. The effect of variou...
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| Format: | Article |
| Language: | English |
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Bern Open Publishing
2019-07-01
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| Series: | Journal of Eye Movement Research |
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| Online Access: | https://bop.unibe.ch/JEMR/article/view/4487 |