RSS 1.0Faculty Publications-Computer Science
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Filtering Eye-Tracking Data from an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters
(2023-03)In a previous report (Raju et al.,2023) we concluded that, if the goal was to preserve events such as saccades, microsaccades, and smooth pursuit in eye-tracking recordings, data with sine wave frequencies less than 100 ... -
Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series
(2022-01)The Fourier theorem proposes that any time-series can be decomposed into a set of sinusoidal frequencies, each with its own phase and amplitude. The literature suggests that some of these frequencies are important to ... -
FKM
(2022-11)This is the site where Friedman and Komogortsev introduce and document a new method for the classification of eye movements (fixation, saccades and PSOs). This article is a complete description of the substantive ... -
Biometric Performance as a Function of Gallery Size
(Multidisciplinary Digital Publishing Institute, 2022-09-13)Many developers of biometric systems start with modest samples before general deployment. But they are interested in how their systems will work with much larger samples. To assist them, we evaluated the effect of gallery ... -
What Can Entropy Metrics Tell Us About Types of Fixations during Video Viewing?
(2022-09)In this report, we provide a detailed analysis of entropy measures calculated for fixation eye-movement trajectories from the GazeCom dataset. Initially, we started with fifteen different entropy measures, but after a ... -
Proposals to Replace the Standard Deviation and the RMS-Sample-to-Sample as Measures of Precision
(2022-07)Contains STD and EXTRA Filter functions written in MATLAB. Also contains a document which explains how the filter functions were verified. -
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset
(Institute of Electrical and Electronics Engineers, 2022-04)The permanence of eye movements as a biometric modality remains largely unexplored in the literature. The present study addresses this limitation by evaluating a novel exponentially-dilated convolutional neural network for ... -
Checking the Statistical Assumptions Underlying the Application of the Standard Deviation and RMS Error to Eye-Movement Time Series: A Comparison between Human and Artificial Eyes
(2022-02)Spatial precision is often measured using the standard deviation (SD) of the eye position signal or the RMS of the sample-to-sample differences (StoS) signal during fixation. As both measures emerge from statistical ... -
A Method for the Detection of Poorly-Formed or Misclassified Saccades: A case study using the GazeCom Dataset
(2022-02)There are many automatic methods for the detection of eye movement types like fixation and saccades. Evaluating the accuracy of these methods can be a difficult and time-consuming process. We present a method to detect ...
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Multimodality During Fixation – Part II: Evidence for Multimodality in Spatial Precision-Related Distributions and Impact on Precision Estimates
(Bern Open Publishing, 2021-10-28)This paper is a follow-on to our earlier paper (Friedman, Lohr, Hanson, & Komogortsev, 2021), which focused on the multimodality of angular offsets. This paper applies the same analysis to the measurement of spatial ... -
OpenEDS2020 Challenge on Gaze Tracking for VR: Dataset and Results
(Multidisciplinary Digital Publishing Institute, 2021-07-13)This paper summarizes the OpenEDS 2020 Challenge dataset, the proposed baselines, and results obtained by the top three winners of each competition: (1) Gaze prediction Challenge, with the goal of predicting the gaze vector ... -
Angular Offset Distributions During Fixation are, More Often than Not, Multimodal
(Bern Open Publishing, 2021-06)Typically, the position error of an eye-tracking device is measured as the distance of the eye-position from the target position in two-dimensional space (angular offset). Accuracy is the mean angular offset. The mean is ... -
Rules and Guidelines for Manual Classification of Fixations, Saccades, PSEs and Other Events in High Quality Eye Movement Recordings During Reading
(2021-04)We present a set of detailed scoring rules and the design of a scoring interface for the purpose of classifying eye-movements during reading. The recordings we employed were from the EyeLink 1000 and were collected at ... -
Large-Scale Gene Network Analysis Reveals the Significance of Extracellular Matrix Pathway and Homeobox Genes in Acute Myeloid Leukemia: An Introduction to the Pigengene Package and its Applications
(BioMed Central, 2017)Background: The distinct types of hematological malignancies have different biological mechanisms and prognoses. For instance, myelodysplastic syndrome (MDS) is generally indolent and low risk; however, it may transform ... -
Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, Gait, Face and Brain Structure Databases
(Public Library of Science, 2017-06)We introduce the intraclass correlation coefficient (ICC) to the biometric community as an index of the temporal persistence, or stability, of a single biometric feature. It requires, as input, a feature on an interval or ... -
In Situ Wireless Channel Visualization Using Augmented Reality and Ray Tracing
(Multidisciplinary Digital Publishing Institute, 2020-01)This article presents a novel methodology for predicting wireless signal propagation using ray-tracing algorithms, and visualizing signal variations in situ by leveraging Augmented Reality (AR) tools. The proposed system ... -
Biometric Performance as a Function of Gallery Size
(2020-01-23)Many developers of biometric systems start with modest samples before general deployment. But they are interested in how their systems will work with much larger samples. To assist them, we evaluated the effect of gallery ... -
Why Temporal Persistence of Biometric Features is so Valuable for Classification Performance
(Multidisciplinary Digital Publishing Institute, 2020-08)It is generally accepted that relatively more permanent (i.e., more temporally persistent) traits are more valuable for biometric performance than less permanent traits. Although this finding is intuitive, there is no ... -
Brief Communication: A Re-Examination of the Eye Movement Data used by Hooge et al (2018) ["Is human classification by experienced untrained observers a gold standard in fixation detection?"]
(2020-01)Hooge et al. (2018) asked the question: ``Is human classification by experienced untrained observers a gold standard in fixation detection?'' They conclude the answer is no. If they had entitled their paper: ``Is human ... -
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study Using SMI's Eye-Tracking HTC Vive
(2019-12-04)This is an unpublished article which is submitted to a journal. We evaluated the data quality of SMI's tethered eye-tracking head-mounted display based on the HTC Vive (ET-HMD) during a random saccade task. We measured ...
