Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
161 results found tagged computer vision.
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Write-it-Yourself: Empowering Blind People to Independently Fill-out Paper Forms
This demonstration paper introduces WiYG (Write-it-Yourself Guide), a system that enables blind people to independently fill out printed paper forms such as bank checks, consent forms, and restaurant receipts — a task that has until now been impossib…
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Designing and Evaluating Head-based Pointing on Smartphones for People with Motor Impairments
This paper presents a calibration-free head-based pointing (HBP) system for Android smartphones that uses the standard front-facing camera to enable people with motor impairments to control an on-screen cursor through head movements. The system was d…
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AIGuide: An Augmented Reality Hand Guidance Application for People with Visual Impairments
This paper presents AIGuide, a self-contained offline iOS smartphone application that uses augmented reality (ARKit) to help people with visual impairments locate, navigate to, and pick up objects in their surroundings. Unlike existing object detecti…
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Privacy Considerations of the Visually Impaired with Camera Based Assistive Technologies: Misrepresentation, Impropriety, and Fairness
This paper investigates the privacy concerns of both visually impaired people (PVIs) and sighted bystanders regarding camera-based assistive technologies like smart glasses (Orcam, Aira, eSight) that can identify people and provide demographic and be…
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Visual Content Considered Private by People Who are Blind
This paper presents the first empirical study investigating what types of visual content people who are blind consider private, in the context of their use of Visual Interpreters or Description Services (VIDS) — services like Seeing AI, Aira, Be My E…
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Eyelid Gestures on Mobile Devices for People with Motor Impairments
This paper presents a novel approach to mobile device interaction for people with severe motor impairments: using eyelid gestures detected by the smartphone's front-facing camera. While existing eye-based interaction research has primarily focused on…
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Exploring Collection of Sign Language Datasets: Privacy, Participation, and Model Performance
This paper tackles a fundamental tension in building machine learning systems for marginalized communities: the need for large training datasets versus the privacy risks of collecting data from small, identifiable populations. The authors focus on si…
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A Saliency-Driven Video Magnifier for People with Low Vision
This demonstration paper presents SViM (Saliency-driven Video Magnifier), a system that uses deep learning-based visual saliency prediction to automatically guide screen magnification to the most important regions of a video for people with low visio…
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Indoor Localization for Visually Impaired Travelers Using Computer Vision on a Smartphone
This paper presents a computer vision-based indoor localization system that runs as a real-time app on a conventional iPhone, designed to help blind and visually impaired travelers navigate indoor spaces where GPS is unavailable. The system combines …
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Game Changer: Accessible Audio and Tactile Guidance for Board and Card Games
This paper presents Game Changer, an augmented workspace system that makes board and card games accessible to blind and visually impaired (BVI) players through a combination of audio descriptions and tactile modifications. The system uses an overhead…