Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
19 results found tagged deep learning.
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DiG-Net: Enhancing Human–Robot Interaction through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics
DiG-Net (Distance-aware Gesture Network) addresses a fundamental limitation in gesture-controlled assistive robotics: existing dynamic gesture recognition systems work reliably only within about seven metres of the camera, severely constraining their…
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Modeling Expertise in Assistive Navigation Interfaces for Blind People
This short IUI paper asks a question most assistive-navigation research leaves unasked: what happens as a blind user becomes an expert on a route? Existing smartphone guidance apps deliver the same instruction set on a user's tenth trip down a corrid…
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ReCog: Supporting Blind People in Recognizing Personal Objects
ReCog is a smartphone application designed to help blind users recognize their own personal objects — items like specific clothing, handmade goods, medicines, or family photos that cannot be identified by general-purpose recognizers such as Seeing AI…
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Deep Learning Methods for Sign Language Translation
This comprehensive study evaluates deep learning methods for translating sign language video directly to spoken/written text—critically, without requiring the intermediate step of gloss-based recognition (manual sign-for-sign transcription). The rese…
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Image Recognition Tools for Blind and Visually Impaired Users: An Emphasis on the Design Considerations
This research examines the current landscape of image recognition tools (IRT) designed for blind and visually impaired users, evaluating their capabilities against user needs and ISO ergonomic design standards. The authors conducted both a comprehens…
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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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Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery
This paper presents the first application of deep learning to automatically assess sidewalk accessibility from Google Street View (GSV) panoramas, addressing four types of accessibility problems: curb ramps, missing curb ramps, sidewalk obstructions,…
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Revisiting Blind Photography in the Context of Teachable Object Recognizers
This paper introduces a real-time audio-haptic feedback system to help people with visual impairments frame objects in their smartphone camera when training teachable object recognizers. The challenge is that teachable recognizers — which let users t…