1 / 36

media x – dnp visit · 5 December 2006

Designing Sensor-based Interactions by Example. Scott Klemmer, Björn Hartmann , Leith Abdulla, Manas Mittal. media x – dnp visit · 5 December 2006. [O’Sullivan]. Tools for Exploration. B. ???. ?. ?. ?. A. START. d.tools. Design Video. Current Work: Exemplar.

marissa-oistin
Télécharger la présentation

media x – dnp visit · 5 December 2006

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Designing Sensor-based Interactions by Example Scott Klemmer, Björn Hartmann, Leith Abdulla, Manas Mittal media x – dnp visit· 5 December 2006

  2. [O’Sullivan]

  3. Tools for Exploration B ??? ? ? ? A START

  4. d.tools

  5. Design Video

  6. Current Work: Exemplar (with Leith Abdulla, Scott R. Klemmer, Manas Mittal) PROTOTYPE APPLICATION LOGIC SPECIFY RELATIONSHIP BETWEEN SENSOR DATA AND APPLICATION LOGIC SPECIFY RELATIONSHIP BETWEEN SENSOR DATA AND APPLICATION LOGIC PROVIDE SOFTWARE ABSTRACTION FOR HARDWARE

  7. Current Tools

  8. Idea: Programming by Demonstration

  9. Crux: Generalization

  10. exemplar

  11. First Video

  12. Exemplar UI

  13. Exemplar UI

  14. Exemplar UI

  15. Exemplar UI

  16. Exemplar UI

  17. Exemplar UI

  18. Exemplar + d.tools

  19. Recognition I: Thresholds

  20. Recognition I: Thresholds

  21. Editing & Generalizing

  22. Editing & Generalizing

  23. Recognition II: Patterns

  24. Editing & Generalizing

  25. Editing & Generalizing

  26. Extensibility • Multiple sensors, multiple events • User-written filters • Continuous output [more: http://hci.stanford.edu/exemplar/documents/exemplar.pdf]

  27. Evaluation

  28. Eval Video

  29. Future Directions • Improve pattern matching performance with Hidden Markov Models (HMMs) • Generate and export high level specificationsfrom Exemplar (pseudo or compilable code) • Bricolage programming:Combine sensing with web services

  30. http://hci.stanford.edu/exemplar

  31. Examples

  32. Examples

  33. Examples

More Related