Picture shows person pointing finger to plastic model of a human heart; 3D camera mounted on tripod views model and hand; computer, connected to camera, announces "Aortic arch"

CamIO

CamIO (short for “Camera Input-Output”) is a system to make physical objects (such as documents, maps, devices and 3D models) accessible to blind and visually impaired persons, by providing real-time audio feedback in response to the location on an object that the user is touching. 

Click here for link to YouTube video demo of CamIO.

A four-year grant from NIH/NEI (R01EY025332) was received in March 2016 to fund CamIO!

See a presentation (pdf available here) of the latest CamIO research on March 3, 2017 at the CSUN Assistive Technology 2017 conference in San Diego.

Tabs

Conference Papers
Mascetti, S., Gerino, A., Bernareggi, C., D’Acquisto, S., Ducci, M., & Coughlan, J.. (2017). JustPoint: Identifying Colors with a Natural User Interface. In 19th Int’l ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017). Baltimore, MD: ACM. (Original work published 2017)
Coughlan, J., & Miele, J.. (2017). Evaluating Author and User Experience for an Audio-Haptic System for Annotation of Physical Models. In 19th Int’l ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017). Baltimore, MD: ACM. (Original work published 2017)
Coughlan, J., & Miele, J.. (2017). AR4VI: AR as an Accessibility Tool for People with Visual Impairments. In AR for Good, part of ISMAR 2017. Nantes, France: IEEE. (Original work published 2017)
Shen, H., Edwards, O., Miele, J., & Coughlan, J.. (2013). CamIO: a 3D computer vision system enabling audio/haptic interaction with physical objects by blind users. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (p. 41). ACM.
  • Miele Lab

    This innovative team conducts cutting-edge research into accessibility technology for blind and visually-impaired people of all ages. 

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  • Coughlan Lab

    The goal of our laboratory is to develop and test assistive technology for blind and visually impaired persons that is enabled by computer vision and other sensor technologies.

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