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• Haptic Gloves for Audio-Tactile Web Accessibility

  Andrii Soviak · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  This doctoral consortium paper proposes FeelX, a haptic glove system that would enable blind users to explore web page layouts through touch on any flat surface such as a desk or table. The core problem is that screen readers linearise web pages into a one-dimensional sequence…

  blindness · haptic technology · tactile interface · screen reader · web accessibility

• Zebra Crossing Spotter: Automatic Population of Spatial Databases for Increased Safety of Blind Travelers

  Dragan Ahmetovic, Roberto Manduchi, James M. Coughlan, Sergio Mascetti · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  This paper presents a computer vision system that automatically detects zebra crosswalks by mining satellite imagery and Google Street View, with the goal of augmenting geographic information systems (GIS) to help blind travelers plan safer routes. Knowing crosswalk locations is…

  visual impairment · navigation · computer vision · pedestrian crossings · wayfinding

• ApplianceReader: A Wearable, Crowdsourced, Vision-based System to Make Appliances Accessible

  Anhong Guo, Xiang "Anthony" Chen, Jeffrey P. Bigham · 2015 · CHI Conference on Human Factors in Computing Systems Extended Abstracts

  This work-in-progress paper presents ApplianceReader, a wearable system that combines a point-of-view camera (Google Glass) with crowdsourcing and computer vision to make everyday appliance control panels accessible to people with visual impairments. The system addresses a…

  appliance accessibility · crowdsourcing · computer vision · wearable technology · blindness

• 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

4 results.