RSS 1.0Faculty Publications-Computer Science
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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 ... -
Why Temporal Persistence of Biometric Features is so Valuable for Classification Performance
(2020-01-24)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 ... -
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 ... -
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. I have had a close look at their data and their ... -
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(2019-12-04)This is an unpublished article which is submitted to a journal.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 ...
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Three Errors and Two Problems in a Recent Paper: gazeNet: End-To-End Eye-Movement Event Detection with Deep Neural Networks (Zemblys, Niehorster, and Holmqvist, 2019)
(2019-09-12)This manuscript was accepted for publication in Behavior Research Methods on December 20, 2019. It is now in press. Zemblys et al. [1] reported on a method for the classification of eye-movements ("gazeNet"). I ... -
Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement Sensors
(IEEE Computer Society, 2019-08-27)Photosensor oculography (PS-OG) eye movement sensors offer desirable performance characteristics for integration within wireless head mounted devices (HMDs), including low power consumption and high sampling ... -
Movement Vigor as a Traitlike Attribute of Individuality
(American Physiological Society, 2018-08)A common aspect of individuality is our subjective preferences in evaluation of reward and effort. The neural circuits that evaluate these commodities influence circuits that control our movements, raising the possibility ...
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Applications of Bayesian Network Models in Predicting Types of Hematological Malignancies
(Nature Publishing Group, 2018-05)Network analysis is the preferred approach for the detection of subtle but coordinated changes in expression of an interacting and related set of genes. We introduce a novel method based on the analyses of coexpression ... -
Pathogenic tau-induced piRNA Depletion Promotes Neuronal Death through Transposable Element Dysregulation in Neurodegenerative Tauopathies
(Nature Publishing Group, 2018-08)Transposable elements, known colloquially as 'jumping genes', constitute approximately 45% of the human genome. Cells utilize epigenetic defenses to limit transposable element jumping, including formation of silencing ... -
SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning
(Multidisciplinary Digital Publishing Institute, 2018-10-09)This paper presents SmartFall, an Android app that uses accelerometer data collected from a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The smartwatch is paired with a smartphone that runs ... -
Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling
(Multidisciplinary Digital Publishing Institute, 2018-12-10)The unmanned aerial vehicle (UAV) offers great potential for collecting air quality data with high spatial and temporal resolutions. The objective of this study is to design and develop a modular UAV-based platform capable ... -
Underexpression of Specific Interferon Genes Is Associated with Poor Prognosis of Melanoma
(Public Library of Science, 2017-01-23)Because the prognosis of melanoma is challenging and inaccurate when using current clinical approaches, clinicians are seeking more accurate molecular markers to improve risk models. Accordingly, we performed a survival ... -
Power-efficient and Shift-robust Eye-tracking Sensor for Portable VR Headsets
(Association for Computing Machinery, 2019-06)This repository contains both the complete data sets and supporting code base from the paper entitled "Power-efficient and shift-robust eye-tracking sensor for portable VR headsets," which as been accepted in the Proceedings ... -
A Novel Evaluation of Two Related, and Two Independent Algorithms for Eye Movement Classification during Reading
(2018)This repository contains classified eye-movement data from the submitted paper, "Novel Evaluation of Two Related, and Two Independent Algorithms for Eye Movement Classification during Reading" Lee Friedman, Ioannis Rigas, ... -
Feature Extraction Code and Data
(2017)This is software and data for the extraction of features from eye movement events (fixations, saccades, and post-saccadic oscillations). The material accompanies the manuscript: "Study of an Extensive Set of Eye Movement ... -
Eye Movement Classification Code - MNH Method for Classification of Fixations, Saccades, and Post-saccadic Oscillations during Reading
(2017-10-11)Link to final published paper, https://rdcu.be/OoNK -
Letting Users Choose Recommender Algorithms: An Experimental Study
(Association for Computing Machinery, 2015-09-16)Recommender systems are not one-size-fits-all; different algorithms and data sources have different strengths, making them a better or worse fit for different users and use cases. As one way of taking advantage of the ...
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User Perception of Differences in Recommender Algorithms
(Association for Computing Machinery, 2014-10)Recent developments in user evaluation of recommender systems have brought forth powerful new tools for understanding what makes recommendations effective and useful. We apply these methods to understand how users evaluate ...
