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• Detecting Readers with Dyslexia Using Machine Learning with Eye Tracking Measures

  Luz Rello, Miguel Ballesteros · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  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 participants aged 11 to 54 —…

  dyslexia · eye tracking · machine learning · detection · support vector machine

• Look Ma, No ARIA: Generic Accessible Interfaces for Web Widgets

  Valentyn Melnyk, Vikas Ashok, Yury Puzis, Yevgen Borodin, Andrii Soviak, I. V. Ramakrishnan · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  This paper proposes an alternative approach to web widget accessibility that bypasses ARIA entirely. Rather than relying on web developers to correctly implement ARIA markup — which is often missing, incorrect, or inconsistent — the system automatically detects, classifies, and…

  widget accessibility · screen readers · WAI-ARIA · machine learning · web chat

• An Enhanced Electrolarynx with Automatic Fundamental Frequency Control based on Statistical Prediction

  Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  This demonstration paper presents a prototype system that enhances electrolarynx speech by automatically controlling pitch (fundamental frequency, or F0) using statistical prediction. An electrolarynx is a speaking aid device used by laryngectomees—people who have had their…

  electrolarynx · laryngectomy · speech synthesis · assistive technology · voice prosthesis

• Talkabel: A Labeling Method for 3D Printed Models

  Lei Shi · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  This poster paper presents Talkabel, a low-cost labeling system that makes 3D printed models accessible to blind users by enabling them to access spoken labels through simple taps on tactile markers. Three-dimensional models are valuable educational tools for blind learners,…

  blindness · 3D printing · tactile graphics · acoustic sensing · machine learning

• A Spellchecker for Dyslexia

  Luz Rello, Miguel Ballesteros, Jeffrey P. Bigham · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  This paper introduces Real Check, a spellchecker designed specifically to detect real-word errors—spelling mistakes that result in unintended but valid words (e.g., "form" instead of "from"). While dyslexia affects approximately 10% of the population and is the most frequent…

  dyslexia · spelling · natural language processing · real-word errors · assistive technology

• Automatic Detection of Phone-Based Anomalies in Dysarthric Speech

  Imed Laaridh, Corinne Fredouille, Christine Meunier · 2015 · ACM Transactions on Accessible Computing (TACCESS)

  This research develops automatic methods to detect and localize acoustic anomalies in speech produced by people with dysarthria, a motor speech disorder caused by neurological damage affecting the respiratory, phonatory, resonatory, articulatory, or prosodic components of…

  dysarthria · speech recognition · automatic speech processing · motor speech disorders · clinical assessment

• Zensors: Adaptive, Rapidly Deployable, Human-Intelligent Sensor Feeds

  Gierad Laput, Walter S. Lasecki, Jason Wiese, Robert Xiao, Jeffrey P. Bigham, Chris Harrison · 2015 · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI 2015)

  Zensors presents a novel sensing platform that combines real-time human intelligence from online crowd workers with machine learning to create adaptive, rapidly deployable intelligent sensors. The system addresses a fundamental gap in smart environment technology: traditional…

  crowdsourcing · human computation · computer vision · smart environments · machine learning

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