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Visualization Learning for Visually Impaired People Patrick Salamin, Frédéric Vexo, Daniel Thalmann Patrick Salamin, Ph. D. student VRLab/EPFL, Switzerland.

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Presentation on theme: "Visualization Learning for Visually Impaired People Patrick Salamin, Frédéric Vexo, Daniel Thalmann Patrick Salamin, Ph. D. student VRLab/EPFL, Switzerland."— Presentation transcript:

1 Visualization Learning for Visually Impaired People Patrick Salamin, Frédéric Vexo, Daniel Thalmann Patrick Salamin, Ph. D. student VRLab/EPFL, Switzerland

2 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 mobile for a large dissemination

3 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.c om/robot_arm_tutorial.shtml http://pegasus.me.jhu.edu/~r webster/index_files/projects/ tactile.htm http://www.mondotees.com/i ndex.asp?PageAction=VIEWPR OD&ProdID=2896

4 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 5 System description 2 Semantic rendering Tests and results

6 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 7 That’s all folks! Thanks for your attention Questions?


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