Encoded	  Surfaces      A	  system	  for	  knowledge	  exchange	  via	  3D	  physical	  objects                           ...
Research	  QuesKon How	  can	  we	  enable	  knowledge	  exchange	    through	  touch	  based	  interacKon	  with	        ...
Intelligence	  in	  the	  ...
Intelligence	  in	  the	  environmentMolecular	  Graphics	  LabScripps	  Research	  InsKtute                              ...
Intelligence	  in	  the	  tag Barcodes                            Invisible	  Media                            Merrill,	  ...
Intelligence	  in	  post-­‐processingAcousKc	  BarcodesHarrison,	  Xiao,	  Hudson	  -­‐	  CMU                             ...
What’s	  missing	  is...         MulKple,	  precisely	  located	  tags             Simple	  encoding	  process            ...
Proposed	  ContribuKons       Method	  for	  encoding	  through	  surface	  features    Method	  and	  hardware	  to	  dec...
Design	  Prototype	  Scenario
Design	  Prototype	  Scenario
Design	  Prototype	  Scenario
Encoding/Decoding
Decoding
Hardware
InteracKon
Technical	  Evalua-on   -­‐	  Characterize	  Encoding	  and	  Decoding	  Process           Minimum	  resoluKon           B...
RoadmapDesign	  and	  Test	  Encoding/Decoding	  System     Encoding	  Materials,	  processes     Decoding	  sensing,	  al...
QuesKons?
Extra	  Slides
Visualanthttp://www.google.com/  patents/US8285510
MIT	  Printers    Invision	  si2	  Printer:	  	  .003”,	  .003”,	  .002”	  (x,y,z)Objet	  Connex	  500	  Printer:	  .0017”...
Tag	  Taxonomy
Future	  InteracKon
Bar	  of	  Soap
BokodeMohan,	  A.,	  Woo,	  G.,	  Hiura,	  S.,	  Smithwick,	  Q.,	  &	  Raskar,	  R.	  (2009).	  Bokode:	  impercepKble	  ...
Amphorm http://tangible.media.mit.edu/project/amphorm/
Physical	  Learning:	  Detroit
Accelerometer	  Decoding
Embroidery	  Encoding
Aperiodic	  Nanostructures
Travis Crit Day Presentation
Travis Crit Day Presentation
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Travis Crit Day Presentation

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Travis Crit Day Presentation

  1. 1. Encoded  Surfaces A  system  for  knowledge  exchange  via  3D  physical  objects Advisor:    Andy  Lippman Travis  Rich Reader:    PaCe  MaesViral  Spaces  Group Reader:    V.  Michael  Bove
  2. 2. Research  QuesKon How  can  we  enable  knowledge  exchange   through  touch  based  interacKon  with   physical  objects?
  3. 3. Intelligence  in  the  ...
  4. 4. Intelligence  in  the  environmentMolecular  Graphics  LabScripps  Research  InsKtute GEnx  Augmented  Reality  Engine
  5. 5. Intelligence  in  the  tag Barcodes Invisible  Media Merrill,  Maes  -­‐  MIT  Media  Lab RFID
  6. 6. Intelligence  in  post-­‐processingAcousKc  BarcodesHarrison,  Xiao,  Hudson  -­‐  CMU ModelCraUAnoto  Pen Song,  GuimbreKere,  Hu,  Lipson  -­‐  U  Maryland,  Cornell
  7. 7. What’s  missing  is... MulKple,  precisely  located  tags Simple  encoding  process Networking Intelligence  in  the  manufacturing
  8. 8. Proposed  ContribuKons Method  for  encoding  through  surface  features Method  and  hardware  to  decode  surface  markersCloud  backend  to  associate  data  with  locaKons  on  object
  9. 9. Design  Prototype  Scenario
  10. 10. Design  Prototype  Scenario
  11. 11. Design  Prototype  Scenario
  12. 12. Encoding/Decoding
  13. 13. Decoding
  14. 14. Hardware
  15. 15. InteracKon
  16. 16. Technical  Evalua-on -­‐  Characterize  Encoding  and  Decoding  Process Minimum  resoluKon Bits/unit  area FabricaKon  Techniques -­‐  Characterize  Full  system Read  Kme Read  accuracyUser  Study -­‐  Interviews  and  Survey  based  on  interacKon  test  case N=12 Both  creaKng  annotaKons  and  reading  informaKon Report  qualitaKve  feedback
  17. 17. RoadmapDesign  and  Test  Encoding/Decoding  System Encoding  Materials,  processes Decoding  sensing,  algorithms Scale  ProcessesDecoding  hardwareFabricate  example  objectsBackend  architectureInterface  design
  18. 18. QuesKons?
  19. 19. Extra  Slides
  20. 20. Visualanthttp://www.google.com/ patents/US8285510
  21. 21. MIT  Printers Invision  si2  Printer:    .003”,  .003”,  .002”  (x,y,z)Objet  Connex  500  Printer:  .0017”,  .0017”,  .0006”  (x,y,z)
  22. 22. Tag  Taxonomy
  23. 23. Future  InteracKon
  24. 24. Bar  of  Soap
  25. 25. BokodeMohan,  A.,  Woo,  G.,  Hiura,  S.,  Smithwick,  Q.,  &  Raskar,  R.  (2009).  Bokode:  impercepKble  visual  tags  for  camera  based  interacKon  from  a  distance.  ACM  Transac+ons  on  Graphics  (TOG),  28(3),  98.
  26. 26. Amphorm http://tangible.media.mit.edu/project/amphorm/
  27. 27. Physical  Learning:  Detroit
  28. 28. Accelerometer  Decoding
  29. 29. Embroidery  Encoding
  30. 30. Aperiodic  Nanostructures

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