Training AI to Recognize Objects of Interest to the Blind and Low Vision Community-Reference-Cited by-同舟云学术

Training AI to Recognize Objects of Interest to the Blind and Low Vision Community

Published:2023-07-24 Issue: Volume: Page:
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Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Sankarnarayanan Tharangini¹,Paciorkowski Lev¹,Parikh Khevna¹,Hamilton-Fletcher Giles²,Feng Chen³,Sheng Diwei³,Hudson Todd E.⁴,Rizzo John-Ross⁴,Chan Kevin C.⁵

Affiliation:

1. New York University,Center for Data Science,New York,NY,USA,10017

2. New York University,NYU Grossman School of Medicine, NYU Langone Health,Department of Ophthalmology,New York,NY,USA,10017

3. New York University,Tandon School of Engineering,Department of Civil and Urban Engineering and Department of Mechanical and Aerospace Engineering,New York,NY,USA,11201

4. NYU Langone Health,NYU Grossman School of Medicine,Department of Rehabilitative Medicine

5. NYU Langone Health,Neuroscience Institute, NYU Grossman School of Medicine,Departments of Ophthalmology and Radiology

Funder

U.S. Department of Defense

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340454.pdf?arnumber=10340454

Reference14 articles.

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2. A Wearable Assistive Technology for the Visually Impaired with Door Knob Detection and Real-Time Feedback for Hand-to-Handle Manipulation

3. Indoor Scene Recognition via Object Detection and TF-IDF

4. Developing an Instrumental Activities of Daily Living Tool as Part of the Low Vision Assessment of Daily Activities Protocol

5. ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition