Projects
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Reading Random Word Sequences (The SKread Test)
This vision test shows random word sequences that prevent the prediction of upcoming words by linguistic criteria and is simple to score in a clinical setting.
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Completed
Reading with the Retinal Periphery
Typographical features of letters were manipulated in such a way that frequently occurring letter confusions in eccentric viewing happened less frequently.
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Realistic Hearing Aid Outcomes
The primary objective of this project is to develop a set of realistic outcome measures that relate to the real-world use of hearing aids.
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Regressions in Braille Reading
This project explores regressions (movements to re-read text) in braille reading.
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Remote Real-Time Description (RRTD)
Remote real-time description (RRTD) is a simple technique that will allow a describer anywhere in the world to provide real-time description for a video stream being viewed by a visually-impaired student at home, in the classroom, or on the go.
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RERC Center Grant
The RERC Center Grant funds a number of projects for blind and visually impaired persons. The projects broadly fall into the categories of Functional Assessment, Access to Spatial and Graphic Information, and STEM Education.
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Active
Reverberant Auditory Scene Analysis
The world is rich in sounds and their echoes from reflecting surfaces, making acoustic reverberation a ubiquitous part of everyday life.
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Robotic Fingerspelling Hand for Communicating with Deaf-Blind People
A robotic fingerspelling hand would give anyone who can type the ability to communicate with deaf-blind people who know tactile fingerspelling. It also would have the potential to provide computer access to deaf-blind people who do not read Braille.
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Self-exploration of the Visual Field
Patients with spots of diminished or no vision (scotomas) often do not realize the nature of their deficit. This technique can help patients to heighten their awareness of scotomas.
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Sensorimotor Adaptation as a Function of Age and Experience
Aim 3 of Reaching with Central Field Loss
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Active
Sign Finder
This project seeks to develop a computer vision-based system that allows a visually impaired traveler to find and read informational signs, such as signs labeling office doors, streets, restrooms and Exit signs.
