Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
161 results found tagged computer vision.
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A Google Glass App to Help the Blind in Small Talk
This demo paper presents a Google Glass prototype that helps blind individuals initiate small talk by automatically analysing a scene to detect the number of people present, their approximate ages, and gender distribution, then synthesising this info…
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Expression: A Google Glass Based Assistive Solution for Social Signal Processing
This demo paper presents Expression, a Google Glass-based assistive system that enables blind and visually impaired users to perceive non-verbal social signals during face-to-face conversations. Limited access to non-verbal cues — facial expressions,…
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Motion History to Improve Communication and Switch Access for People with Severe and Multiple Disabilities
This demo paper presents the application of Motion History — a computer vision technique that visualises a user's movement history as a heat map — to support communication and switch access for people with severe and multiple disabilities. The system…
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Headlock: A Wearable Navigation Aid that Helps Blind Cane Users Traverse Large Open Spaces
This demo paper presents HEADLOCK, a navigation aid built for an optical head-mounted display (HMD) that helps blind cane users traverse large open spaces — environments like building foyers, plazas, and parking lots that lack the tactile boundaries …
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Headlock: A Wearable Navigation Aid that Helps Blind Cane Users Traverse Large Open Spaces
This paper presents HEADLOCK, a navigation aid for optical head-mounted displays (OHMDs) like Google Glass that helps blind cane users traverse large open spaces—environments that are particularly challenging because they lack the tactile features (w…
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Identifying Sign Language Videos in Video Sharing Sites
This paper addresses the challenge of finding sign language videos within general video sharing platforms like YouTube. While these platforms contain growing libraries of sign language content created by deaf community members, locating this content …
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Isolated Sign Language Recognition with Grassmann Covariance Matrices
This paper proposes a novel method for isolated sign language recognition using Grassmann Covariance Matrices (GCM) to fuse multimodal features captured by Microsoft Kinect. With 360 million people worldwide affected by hearing loss—21 million in Chi…
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Improving the Accessibility of Mobile OCR Apps Via Interactive Modalities
This paper addresses a critical usability challenge in mobile OCR for blind users: while OCR technology itself works well, it requires properly framed images at adequate resolution—something difficult to achieve without visual feedback. Blind users c…
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"Hands On" Visual Recognition for Visually Impaired Users
This paper presents a collaborative visual recognition system designed to help blind or visually impaired (BVI) users identify specific product instances — distinguishing between brands, models, or types of objects that feel similar when handled. Whi…
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Computer Vision-based Methodology to Support AAC
This paper presents a methodology for supporting augmentative and alternative communication (AAC) through personalized gestural interaction using computer vision and machine learning. The authors developed the PGCA (Personal Gesture Communication Ass…