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Visualization Learning for Visually Impaired People Patrick Salamin, Frédéric Vexo, Daniel Thalmann

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, Frédéric Vexo, Daniel Thalmann

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  1. Visualization Learning for Visually Impaired PeoplePatrick Salamin, Frédéric Vexo, Daniel Thalmann Patrick Salamin, Ph. D. studentVRLab/EPFL, Switzerland

  2. 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

  3. 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

  4. System description 1 • Digital content on the WEB • Extraction of semantic information from a 3D shape • Acquisition of the data through the Internet

  5. System description 2 • Semantic rendering • Tests and results

  6. 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

  7. That’s all folks! • Thanks for your attention • Questions?

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