M.S. in Computer Science, Universita' degli Studi di Napoli Federico II
B.S. in Computer Science, Universita' degli Studi di Napoli Federico II
I combine my expertise in Computer Science, Computer Vision, Machine Learning and Assistive Technologies to create new technology for blind individuals to make travel, employment and education accessible. My main research focuses on developing tools to reduce accessibility barriers in the Science, Technology, Engineering and Mathematics (STEM) fields and in online media.
We aim to better understand how people perceive, interact with, and move through the world, especially when vision is unavailable. To this end, the lab studies perception and sensory processing in multiple sensory modalities, with particular interests in echolocation and braille reading in blind persons. We are also interested in mobility and navigation, including assistive technology using nonvisual cues. These are wide-ranging topics, which we approach using a combination of psychophysical, neurophysiological, engineering, and computational tools.
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t-Scratch: Tangible Programming Environment
tScratch: Tangible Programming Environment Targeted for Students who are Blind or Visually Impaired Introductory programming languages are overwhelmingly designed with sighted students in mind. Our goal is to expand and enhance scratch (https://scratch.mit.edu/), a block-based visual programming...
Tactile Graphics Helper (TGH)
Tactile graphics use raised lines, textures, and elevations to provide individuals with visual impairments access to graphical materials through touch. Tactile graphics are particularly important for students in science, technology, engineering, and mathematics (STEM) fields, where educational...
What is echolocation? Sometimes, the surrounding world is too dark and silent for typical vision and hearing. This is true in deep caves, for example, or in murky water where little light penetrates. Animals living in these environments often have the ability to echolocate: They make sounds and...
ZoomBoard: an Affordable, Portable System to Improve Access to Presentations and Lecture Notes for Low Vision Viewers
The goal of the project is to develop a “ZoomBoard” system that students with low vision can use to better access visual material on a whiteboard or blackboard. The prototype version of the system that we plan to develop in this grant will consist of a dedicated camera...
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.
A Computer Vision-Based Indoor Wayfinding Tool
The ability to navigate safely and confidently is a fundamental requirement for independent travel and access to many settings such as work, school, shopping, transit and healthcare. Navigation is particularly challenging for people with visual impairments, who have limited ability to see signs, landmarks or maps posted in the environment.
CamIO (short for “Camera Input-Output”) is a system to make physical objects (such as documents, maps, devices and 3D models) accessible to blind and visually impaired persons, by providing real-time audio feedback in response to the location on an object that the user is touching. CamIO...
The goal of the Display Reader project is to develop a computer vision system that runs on smartphones and tablets to enable blind and visually impaired persons to read appliance displays. Such displays are found on an increasing array of appliances such as microwave ovens, thermostats and home...
Crosswatch is a smartphone-based system developed for providing real-time guidance to blind and visually impaired travelers at traffic intersections. Using the smartphone's built-in camera and other sensors, Crosswatch is designed to tell blind and visually impaired travelers what kind of...