Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
4 results found tagged support vector machine.
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Variable frame rate for low power mobile sign language communication
This paper from the University of Washington MobileASL team — Neva Cherniavsky, Anna Cavender, Richard Ladner, and Eve Riskin — addresses a then-emerging problem: enabling Deaf people in the United States to hold real-time American Sign Language conv…
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Information overload in non-visual web transaction: context analysis spells relief
This short ASSETS 2007 poster paper from Jalal Mahmud at Stony Brook University describes ongoing PhD research into reducing the information overload that blind users experience when completing multi-step web transactions — shopping, registrations, b…
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Accessibility Evaluation based on Machine Learning Technique
This paper from IBM Tokyo Research Lab proposes using machine learning to evaluate the accessibility of presentation documents, addressing a gap where traditional rule-based checking tools are insufficient. The authors argue that presentation documen…
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Detecting Readers with Dyslexia Using Machine Learning with Eye Tracking Measures
This paper presents the first machine learning model to automatically detect readers with dyslexia using eye tracking data. The authors trained a Support Vector Machine (SVM) binary classifier on a dataset of 1,135 readings from 97 Spanish-speaking p…