Projects
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A Computer Vision-Based Indoor Wayfinding Tool
We are creating a smartphone-based indoor navigation app to estimate the user's location in an indoor environment and guide him/her to a desired destination.
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Acoustic Cues for Wayfinding
This project aims to do a detailed analysis of the environmental acoustic cues that help some blind navigate successfully.
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Adaptive Visual Strategies for Information Maximization in Individuals with Macular Degeneration
In this project we try to gain a better understanding of what visual strategies people use to gather information in the world.
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Algorithmic Automated Description (AAD)
Automated algorithmic description (AAD) uses existing machine-vision techniques to automate specific aspects of description such as camera motion, scene changes, face identification, and the reading of printed text.
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Alleviating interocular suppression by high-attention demand training in amblyopia
The goal of this project is to test a hypothesis that whether or not training patients to pay more attention to the input from the amblyopic eye can overcome interocular suppression to treat amblyopia.
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Assessment of Speechreading with Dual Sensory Loss: Visual and Hearing Impairments
The purpose of this research study is to test subjects who have various hearing and vision problems on their lipreading, visual and auditory skills in order to understand the relationships between lipreading and visual impairment.
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Audio/Tactile BART Station Maps
This collaborative project between Smith-Kettlewell and the San Francisco LightHouse applies Smartpen-Based audio/tactile graphics tools to improve orientation and wayfinding by travelers with visual disabilities in and around unfamiliar transit stations.
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Audio/Tactile Graphics Using LiveScribe Smartpen
Active from 2007 to 2010, this project was the first exploration of using a digital smartpen as a platform for creating and presenting audio/tactile graphics – a system of using touch-based audio to annotate tactile figures to improve access to graphical information for the blind.
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BLaDE
BLaDE (Barcode Localization and Decoding Engine) is an Android smartphone app designed to enable a blind or visually impaired user find and read product barcodes.
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Blind Arduino Project
The Blind Arduino Project grew out of a community effort led by Dr. Miele in late 2015 to better understand barriers faced by blind people wanting to participate in the vibrant global culture of DIY hardware prototyping.
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Braille, Assistive Technology, and Reading Comprehension
This project explores the impact of presentation mode (braille vs. audio) and using different assistive technology (i.e., refreshable braille displays and screen reader) on reading comprehension ability.
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