Research -> Projects, Publications, Software & Datasets, People

 

     

Ocular Biometrics

 

Goal: Research new methods that allow a person's identification based on the eye movement and the oculomotor plant metrics. Research effective information fusion methods that allow more accurate person identification based on multiple ocular traits.

Project Status: Looking for students interested in the project. The students will participate in data collection, data analysis and creation of novel ocular biometric algorithms.

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Health Assessment via Eye Movement Analysis

   

Goal: Develop novel methods and tools that would allow performing health assessment based on the analysis of the eye movement data. All health conditions that manifest themselves in an abnormal performance of the Human Visual System are of interest. Current focus is on detecting concussions via eye movement-based biometric framework.

Project Status: Looking for students interested in the project. The students will participate in the eye movement data collection, analysis, and creation of health assessment algorithms.

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Eye-Gaze Guided Human Computer Interaction

I-Gaze

Goal: Develop new computer interfaces that are driven by eye movements. Investigate most effective widget sizing and placement. Invent new modes of eye-gaze based interaction, e.g., saccade-based interaction, smooth pursuit interaction that allow faster and more natural interaction between  a human and a computer.

Project Status: Looking for students interested in the project. The students will participate in the development and the evaluation of the new interaction algorithms.

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Eye Tracking Solutions

Goal: Create eye tracking solutions that would work with unmodified existing web-cameras. Perform eye tracking on unmodified mobile devices, e.g., tablets.

Project Status: Looking for students interested in the project. The students will participate in the development and the evaluation of the new interaction algorithms.

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Oculomotor Plant Mathematical Model Development

 

 

Goal: Create anatomically accurate Oculomotor Plant (eye globe + extraocular muscles) model.

Project Status: Looking for students interested in the project. The students will participate in the mathematical development of the oculomotor plant model.

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Eye Movement Classification

 

 

Goal: Accurately classify various types of the eye movement behavior offline and in the real-time from the raw eye positional signal. This classification includes basic eye movements such as fixations, saccades, smooth pursuits and complex eye movement behavior such as simple and corrective overshoots/undershoots, dynamic, express, compound saccades, and others.

Project Status: Looking for students interested in the project. The students will participate in the development and the evaluation of the new interaction algorithms.

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Foveated Rendering

 

 

Goal: Reduce computational burden for rendering of a scene without reducing its perceptual quality.

Implementation: Eye-gaze position indicates the area of the image that requires high-quality coding. Peripheral part of the image is encoded with lower quality. Peripheral image degradation is performed according to a visual sensitivity function that accounts for distribution of the light sensing cells in the human eye. Such approach allows compressing a visual source by up to 3 times without a viewer noticing compression artifacts.

Project Status: Looking for students interested in the project. The students will participate in applying gaze contingent compression methods to the 3D environments, specifically for Virtual Reality.

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Usability Research - Collaboration with Dr. Dan Tamir Department of Computer Science

 

 

Goal: Provide software engineers with a set of effort based objective metrics and measures to pinpoint usability issues early in the software development process.

Project Status: Looking for students interested in the project. The students will participate in the various usability assessments and interface improvements.

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      Psychology Research - Collaboration with Department of Psychology (Dr. Natalie Ceballos, Dr. Reiko Graham, Dr. Maria Czyzewska)

Goal: To examine the potential relationship between psycho-physiological indices of attentional bias to environmental stimuli (including alcohol-related images) as measured using traditional eye tracking characteristics (e.g., dwell time, point of initial fixation) vs. basic oculomotor plant metrics (e.g., in response to moving points of light). To examine the predictive capacity of eye-tracking measures, obtained via traditional attentional bias measures (e.g., dwell time and initial point of fixation to alcohol-related images) and oculomotor plant metrics (e.g., in response to moving points of light), for development of binge drinking first years of the college experience.

Project Status: Looking for students interested in the project. The students will participate in the eye movement recording and analysis.


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Geographic Information Science Research

 

 

Goal: Investigates whether three-dimensional spatial mappings provide better support for route planning than two-dimensional representations. Investigate if the eye movement related metrics can be predictive of the difficulty of the selected route.

Project Status:Looking for students interested in the project. The students will participate in the route planning assessments and interface improvements.

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      Utilities for the Eye Tracking Research
 

 

Goal: Developing a set of utilities that allow to measure the accuracy and the validity of eye tracking experiments

Project Status: Looking for students interested in the project. The students will work with eye tracker equipment and Microsoft Visual Studio.

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