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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Intelligent Interaction in Accessible Applications
verfasst von : Sina Bahram, Arpan Chakraborty, Srinath Ravindran, Robert St. Amant
Erschienen in: A Multimodal End-2-End Approach to Accessible Computing
Verlag: Springer London
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Advances in artificial intelligence over the past decade, combined with increasingly affordable computing power, have made new approaches to accessibility possible. In this chapter we describe three ongoing projects in the Department of Computer Science at North Carolina State University. CAVIAR, a Computer-vision Assisted Vibrotactile Interface for Accessible Reaching, is a wearable system that aids people with vision impairment (PWVI) in locating, identifying, and acquiring objects within reach; a mobile phone worn on the chest processes video input and guides the user’s hand to objects via a wristband with vibrating actuators. TIKISI (Touch It, Key It, Speak It), running on a tablet, gives PWVI the ability to explore maps and other forms of graphical information. AccessGrade combines crowd-sourcing with machine learning techniques to predict the accessibility of Web pages.