Skip to main content
Smith-Kettlewell logo
Donate
  • About Us
    • Mission Statement
    • Accomplishments
    • Leadership
    • History
    • Funding Sources
    • Directions to SKERI
  • Science
    • Centers
    • Labs
    • Projects
    • Publications/Bibliography
  • People
    • Research
      • Scientists (PI's)
      • Current Fellows
      • Research Staff
      • Emeritus
    • Administration
  • What's New
    • Events
    • Calendar
    • News
  • Get Involved / Support
    • Why Get Involved
      • Donate
      • Giving Options
    • Participate in a Study
    • Volunteers
    • Donate
  • Fellowship Program
    • Overview
    • Current Fellows
    • Past Fellows
      • Past Research Fellows
      • Past Clinical Fellows
    • Current Mentors
    • Fellowship Openings
      • Fellowship Application
  • Careers
    • Current Opportunities
  • Administration
    • Grants Management
      • Pre-award
      • Post-award
    • IRB
    • HR
      • Employee Handbook
      • New Appointment Form
      • SKERI Conflict of Interest Policy

You are here

Home
Photo of Giovanni Fusco

Giovanni Fusco

Engineering Manager and Lead Machine Learning Eng., Pixofarm
Degrees: Ph.D. in Computer Science, Universita' degli Studi di Genova
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.

See Publications

Tabs

  • Publications
  • Labs
  • Projects
Journal Articles
Real-Time Sign Detection for Accessible Indoor Navigation. (2021). Real-Time Sign Detection for Accessible Indoor Navigation. Journal On Technology And Persons With Disabilities, 9.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Smooth pursuit eye movements in patients with macular degeneration. (2016). Smooth pursuit eye movements in patients with macular degeneration. Journal Of Vision, 16, 1.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Structured multi-class feature selection with an application to face recognition. (2014). Structured multi-class feature selection with an application to face recognition. Pattern Recognition Letters.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
Conference Papers
A Tangible Block Editor for the Scratch Programming Language. (2021). A Tangible Block Editor for the Scratch Programming Language. In CHI 2021. ACM: Yokohama, Japan.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
An Indoor Navigation App using Computer Vision and Sign Recognition. (2020). An Indoor Navigation App using Computer Vision and Sign Recognition. In 17th International Conference on Computers Helping People with Special Needs.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Indoor Localization for Visually Impaired Travelers Using Computer Vision on a Smartphone. (2020). Indoor Localization for Visually Impaired Travelers Using Computer Vision on a Smartphone. In 17th International Web for All Conference: Automation for Accessibility.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Modeling echo-target acquisition in blind humans. (2019). Modeling echo-target acquisition in blind humans. In Conference on Cognitive Computational Neuroscience. Conference on Cognitive Computational Neuroscience: Berlin, Germany.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
Indoor Localization using Computer Vision and Visual-Inertial Odometry. (2018). Indoor Localization using Computer Vision and Visual-Inertial Odometry. In International Conference on Computers Helping People with Special Needs (ICCHP '18). Linz, Austria: Linz, Austria.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Towards a Sign-Based Indoor Navigation System for People with Visual Impairments. (2016). Towards a Sign-Based Indoor Navigation System for People with Visual Impairments. In 18th International ACM SIGACCESS Conference on Computers and Accessibility. ACM: Reno, NV.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Appliance Displays: Accessibility Challenges and Proposed Solutions. (2015). Appliance Displays: Accessibility Challenges and Proposed Solutions. In 17th International ACM SIGACCESS Conference on Computers and Accessibility. ACM: Lisbon, Portugal. http://doi.org/http://dx.doi.org/10.1145/2700648.2811392
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
The Tactile Graphics Helper: Providing Audio Clarification for Tactile Graphics Using Machine Vision. (2015). The Tactile Graphics Helper: Providing Audio Clarification for Tactile Graphics Using Machine Vision. In ASSETS.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Using Computer Vision to Access Appliance Displays. (2014). Using Computer Vision to Access Appliance Displays. In ASSETS.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Determining a Blind Pedestrian’s Location and Orientation at Traffic Intersections. (2014). Determining a Blind Pedestrian’s Location and Orientation at Traffic Intersections. In Computers Helping People with Special Needs (pp. 427–432). Springer International Publishing.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Self-Localization at Street Intersections. (2014). Self-Localization at Street Intersections. In Computer and Robot Vision (CRV), 2014 Canadian Conference on (pp. 40–47). IEEE.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Structured multi-class feature selection for effective face recognition. (2013). Structured multi-class feature selection for effective face recognition. In Image Analysis and Processing–ICIAP 2013 (pp. 410–419). Springer Berlin Heidelberg.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. (2013). A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. In Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on (pp. 239–244). IEEE.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
Combining retrieval and classification for real-time face recognition. (2012). Combining retrieval and classification for real-time face recognition. In Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on (pp. 276–281). IEEE.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
Low-cost face biometry for visually impaired users. (2010). Low-cost face biometry for visually impaired users. In Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2010 IEEE Workshop on (pp. 45–52). IEEE.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
A semi-automated method for the measurement of the fetal nuchal translucency in ultrasound images. (2009). A semi-automated method for the measurement of the fetal nuchal translucency in ultrasound images. In Image Analysis and Processing–ICIAP 2009 (pp. 613–622). Springer.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
Presentations/Posters
An Appliance Display Reader for People with Visual Impairments. (2016). An Appliance Display Reader for People with Visual Impairments.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document
Assessing Patients with Central Field Loss Using a Low-Cost Virtual Reality System with Head Tracking. (2016). Assessing Patients with Central Field Loss Using a Low-Cost Virtual Reality System with Head Tracking.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
Characteristics of Monocular Smooth Pursuit in Central Field Loss. (2015). Characteristics of Monocular Smooth Pursuit in Central Field Loss.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
Other Publications
Sign Finder Application - Technical Report. (2016). Sign Finder Application - Technical Report.
  • Google Scholar
  • BibTex
  • Tagged
  • XML
View Document

Teng Lab

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.

View Lab
Active
Active

A11Y COVID-19

Accessible COVID-19 pandemic data are available at covid.ski.org

Active

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...

Active

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...

Active

Human Echolocation

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...

Active

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...

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.

Link to...

Active

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.

Active

CamIO

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...

Completed
Completed

Display Reader

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...

Completed

Crosswatch

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...

Contact Information
Email: giofusco@ski.org
Email: giofusco@ski.org
Office Phone: giofusco@ski.org
Lab Phone: giofusco@ski.org
Mobile Phone: giofusco@ski.org
Fax: giofusco@ski.org
Links
LinkedIn Personal Page
Github
  • Directions
  • Accessibility
  • Webmaster
  • Login

© 2019 The Smith-Kettlewell Eye Research Institute | Terms of Use | Privacy Policy

2318 Fillmore Street, San Francisco, CA 94115-1813

415-345-2000 | TTY 415-345-2290 | Fax 415-345-8455

Facebook Twitter LinkedIn YouTube Pinterest