Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
161 results found tagged computer vision.
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Marker-Assisted Recognition of Dynamic Content in Public Spaces
This paper from IBM Research Brazil presents an image processing system that helps visually impaired and situationally disabled people (such as tourists in foreign countries) recognize dynamic content displayed on public information boards. The syste…
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Haptic Gloves for Audio-Tactile Web Accessibility
This doctoral consortium paper proposes FeelX, a haptic glove system that would enable blind users to explore web page layouts through touch on any flat surface such as a desk or table. The core problem is that screen readers linearise web pages into…
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AIDE: An Automatic Image Description Engine for Review Imagery
This paper from Wayfair presents AIDE, a multimodal machine learning system that automatically generates contextual alt-text for user-submitted review images in e-commerce — a category of imagery that is particularly inaccessible because it is user-g…
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Computer vision-based analysis of web page structure for assistive interfaces
This doctoral consortium paper proposes a novel approach to understanding web page structure by analyzing rendered page images using computer vision, rather than relying on the DOM tree or source code as most existing web page segmentation methods do…
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Making Real-World Interfaces Accessible Through Crowdsourcing, Computer Vision, and Fabrication
This demonstration paper presents two complementary systems designed to make inaccessible physical interfaces usable by blind people: VizLens and Facade. The research addresses a fundamental and long-standing accessibility problem — the vast majority…
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Multi-view Mouth Renderization for Assisting Lip-reading
This paper presents an assistive tool that uses Generative Adversarial Networks (GANs) to enhance video for people who rely on lip-reading. The core problem is that lip-readers generally prefer a frontal view of a speaker's face, but in real-world vi…
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Accessify: An ML Powered Application to Provide Accessible Images on Web Sites
This demonstration paper presents Accessify, a browser plugin that uses machine learning to automatically generate alternative text descriptions for all images on a website, injecting them into the page’s DOM so screen readers can access them. The sy…
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A TensorFlow-based Assistive Technology System for Users with Visual Impairments
This extended abstract presents a wearable computer vision system that uses deep learning to classify objects in a blind user’s surroundings and provide audio descriptions via text-to-speech. The system addresses a limitation of smartphone-based obje…
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CaBot: Designing and Evaluating an Autonomous Navigation Robot for Blind People
This paper presents CaBot (Carry-on roBot), an autonomous suitcase-shaped navigation robot designed to guide blind people to destinations in unfamiliar indoor environments while avoiding obstacles. Unlike smartphone navigation apps that provide turn-…
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Effect of Automatic Sign Recognition Performance on the Usability of Video-Based Search Interfaces for Sign Language Dictionaries
This paper investigates how the performance of automatic sign recognition technology affects user satisfaction when searching for unfamiliar words in an ASL-to-English dictionary. Looking up an unknown sign in ASL is fundamentally harder than looking…