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• Computer vision-based analysis of web page structure for assistive interfaces

  Michael Cormier · 2016 · Proceedings of the 13th International Web for All Conference (W4A)

  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. The author argues that the…

  computer vision · web page segmentation · screen reader accessibility · cognitive accessibility · machine learning

• Magic Touch: Interacting with 3D Printed Graphics

  Lei Shi, Ross McLachlan, Yuhang Zhao, Shiri Azenkot · 2016 · ASSETS '16: Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility

  Magic Touch is a computer vision-based system that augments 3D printed tactile graphics with audio information, addressing a key limitation of physical models for blind users: while 3D printing can effectively convey shapes and textures, text annotations and labels are difficult…

  tactile graphics · 3D printing · computer vision · blind accessibility · audio labeling

• A Computer Vision-Based System for Stride Length Estimation using a Mobile Phone Camera

  Wei Zhu, Boyd Anderson, Shenggao Zhu, Ye Wang · 2016 · ASSETS '16: Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents an affordable computer vision system for measuring stride length in Parkinson's disease (PD) patients using only a smartphone camera and a printed PVC mat. Gait analysis is a critical non-invasive method for PD diagnosis and assessment, but clinical systems…

  Parkinson's disease · gait analysis · computer vision · mobile health · movement disorders

• Isolated Sign Language Recognition with Grassmann Covariance Matrices

  Hanjie Wang, Xiujuan Chai, Xiaopeng Hong, Guoying Zhao, Xilin Chen · 2016 · ACM Transactions on Accessible Computing

  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 China alone—automatic sign…

  sign language recognition · Chinese sign language · computer vision · machine learning · deaf and hard of hearing

• VizLens: A Robust and Interactive Screen Reader for Interfaces in the Real World

  Anhong Guo, Xiang "Anthony" Chen, Haoran Qi, Samuel White, Suman Ghosh, Chieko Asakawa, Jeffrey P. Bigham · 2016 · Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST 2016)

  This paper introduces VizLens, a system that functions as a screen reader for physical interfaces in the real world, enabling blind people to independently use inaccessible appliances like microwaves, thermostats, kiosks, and checkout terminals. VizLens deeply integrates…

  visual accessibility · computer vision · crowdsourcing · blind users · physical interfaces

5 results.