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Visualization Learning for Visually Impaired People Patrick Salamin, Frédéric Vexo, Daniel Thalmann Patrick Salamin, Ph. D. student VRLab/EPFL, Switzerland Introduction Motivation: Digital content on the WEB is for everyone

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visualization learning for visually impaired people patrick salamin fr d ric vexo daniel thalmann

Visualization Learning for Visually Impaired PeoplePatrick Salamin, Frédéric Vexo, Daniel Thalmann

Patrick Salamin, Ph. D. studentVRLab/EPFL, Switzerland

introduction
Introduction
  • Motivation:
    • Digital content on the WEB is for everyone
    • What about visually impaired people with 3D shapes (e.g. a human face)?
  • Constraints:
    • Patient have to be not born blind
    • System must be low-cost and mobilefor a large dissemination
why 3d shapes and audio
Why 3D shapes and audio?
  • 3D shapes
    • Crucial for the Education
  • Available modalities (haptic feedback)
    • Force feedback  corners problem, expensive
    • Tactile  good for surfaces, non-portable
    • Audio  good for volumes, not for surfaces
  • Our solution: the PDA
    • Audio and tactile screen combined
    • Low-cost and portable

http://www.societyofrobots.com/robot_arm_tutorial.shtml

http://pegasus.me.jhu.edu/~rwebster/index_files/projects/tactile.htm

http://www.mondotees.com/index.asp?PageAction=VIEWPROD&ProdID=2896

system description 1
System description 1
  • Digital content on the WEB
  • Extraction of semantic information from a 3D shape
  • Acquisition of the data through the Internet
system description 2
System description 2
  • Semantic rendering
  • Tests and results
conclusion
Conclusion
  • Efficiency
    • Clear understanding of the contours
    • Intuitive concept of continuous tonality variation to render the height
    • Efficient and promising application
  • Further works:
    • More complex shapes (e.g. human faces,and even… animations?)
    • Working with visually impaired people
that s all folks
That’s all folks!
  • Thanks for your attention
  • Questions?