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• Mind Your Crossings: Mining GIS Imagery for Crosswalk Localization

  Dragan Ahmetovic, Roberto Manduchi, James M. Coughlan, Sergio Mascetti · 2017 · ACM Transactions on Accessible Computing (TACCESS)

  This paper presents a computer vision system for automatically detecting and localizing zebra crosswalks in urban environments by mining existing geospatial image databases, specifically Google satellite imagery and Google Street View. The motivation is that blind pedestrians…

  visual impairment · orientation and mobility · computer vision · navigation · crowdsourcing

• Making Real-World Interfaces Accessible Through Crowdsourcing, Computer Vision, and Fabrication

  Anhong Guo, Jeffrey P. Bigham · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  This demonstration paper presents two complementary systems designed to make inaccessible physical interfaces usable by blind people: VizLens and Facade. The research addresses a fundamental and long-standing accessibility problem — the vast majority of physical interfaces in…

  physical accessibility · computer vision · crowdsourcing · 3D printing · assistive technology

• Real-Time Depth-Camera Based Hand Tracking for ASL Recognition

  Brandon Taylor, Anind Dey, Daniel Siewiorek, Asim Smailagic · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This demonstration paper validates the use of a publicly available real-time hand tracking algorithm (Sphere-Mesh) for recognizing American Sign Language (ASL) handshapes using a depth camera. Sign Language Recognition (SLR) has long been a motivating goal for high-precision…

  sign language recognition · hand tracking · computer vision · depth camera · machine learning

• Speed-Accuracy Tradeoffs for Detecting Sign Language Content in Video Sharing Sites

  Frank M. Shipman, Satyakiran Duggina, Caio D.D. Monteiro, Ricardo Gutierrez-Osuna · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper addresses the problem of automatically detecting sign language content in videos on sharing platforms like YouTube and Vimeo. For many deaf and hard-of-hearing people, sign language is their primary communication medium, and they rely on online video content to stay…

  sign language · computer vision · video classification · information retrieval · deaf and hard of hearing

• Identifying Visual Cues to Improve Independent Indoor Navigation for Blind Individuals

  Cameron Tyler Cassidy · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This student research competition paper proposes a novel approach to indoor navigation for blind individuals that focuses on providing environmental awareness and a "sense of space" rather than traditional point-to-point directions. The author argues that most existing…

  indoor navigation · blindness · computer vision · eye tracking · wayfinding

• "Is Someone There? Do They Have a Gun": How Visual Information about Others Can Improve Personal Safety Management for Blind Individuals

  Stacy M. Branham, Ali Abdolrahmani, William Easley, Morgan Scheuerman, Erick Ronquillo, Amy Hurst · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17)

  This paper investigates an underexplored dimension of accessibility for people who are blind: the need for visual information about other people to manage personal physical safety. While decades of assistive technology research have focused on helping blind individuals navigate…

  blindness · personal safety · facial recognition · assistive technology · navigation

• Imagining Artificial Intelligence Applications with People with Visual Disabilities using Tactile Ideation

  Cecily Morrison, Edward Cutrell, Anupama Dhareshwar, Kevin Doherty, Anja Thieme, Alex Taylor · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17)

  This paper presents a novel tactile ideation methodology for working with people with visual disabilities to imagine future AI applications, and reports on cross-cultural workshops conducted in the UK (6 participants) and India (8 participants). Rather than asking users about…

  artificial intelligence · blindness · visual impairment · participatory design · design methodology

• "Hands On" Visual Recognition for Visually Impaired Users

  Joan Sosa-García, Francesca Odone · 2017 · ACM Transactions on Accessible Computing

  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. While BVI individuals can often…

  visual impairment · object recognition · computer vision · assistive technology · wearable technology

• Improving the Accessibility of Mobile OCR Apps Via Interactive Modalities

  Michael Cutter, Roberto Manduchi · 2017 · ACM Transactions on Accessible Computing

  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 commonly hold the camera too…

  OCR · mobile accessibility · blindness · camera guidance · computer vision

• People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges

  Hernisa Kacorri, Kris M. Kitani, Jeffrey P. Bigham, Chieko Asakawa · 2017 · CHI Conference on Human Factors in Computing Systems

  This paper explores whether people with visual impairments can train their own personalized object recognition systems using a smartphone camera and a small number of example photos. The authors address a fundamental limitation of existing object recognition tools for blind…

  object recognition · computer vision · blindness · transfer learning · personalization

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