Handwriting recognition on Livescribe smartpen

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Handwriting recognition on Livescribe smartpen

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Handwriting recognition on Livescribe smartpen

  1. 1. Livescribe smart pen<br />Pulse smart pen<br />Handwriting recognition on the pen.<br />
  2. 2. Pulse smartpen<br />
  3. 3. Hardware<br />CPU: ARM 9<br />Screen: 96x18 OLED Display<br />Camera: High speed infrared camera (over 70 images/sec)<br />Battery: 300 mAH rechargeable lithium (non–removable)<br />Storage: 1GB NAND (over 100 hours recording time)*<br />
  4. 4. Livescribe dot paper<br />Micro dots nearly invisible to human eyes<br />Special pattern base on Anoto technology<br />Dot size 100 micrometers in diameters arranged in a pattern with a spacing of approximately 0.3 mm.<br />
  5. 5. Open Paper and Fixed Print Paper <br />Open Paper (OP): Open Paper refers to regions of a Livescribe dot page that various Pulse smartpen applications can claim at runtime <br />Fixed Print (FP): Fixed Print refers to regions of a Livescribe dot page that are defined by a Pulse smartpen application during application development.<br />
  6. 6.
  7. 7. Dot Pattern Organization <br />
  8. 8. Page address: segment.shelf.book.page<br />1.2.3.4 denotes pattern page 4 in book 3, which is located on shelf 2 in segment 1. <br />The first pattern page in a book and the first book on a shelf are identified as number 0. <br />1.2.3.* means all pattern pages in book 3, which is located on shelf 2 in segment 1. <br />
  9. 9. How the Pulse Smartpen Works <br />
  10. 10. Specifications<br />The infrared camera takes snapshots between 50 and 100 times per second <br />Takes snapshots of the dot pattern up to 7 mm from the tip <br />Can record audio along with your written notes: Paper Replay<br />Links the recorded audio to your notes. <br />
  11. 11. Pulse Smartpen Applications <br />
  12. 12. Penlet<br />A Penlet is a Java application developed to interact with specific active regions defined on a Paper Product. <br />The Livescribe Java API based on the Java Platform, Micro Edition (Java ME) and CLDC (Connected Limited Device Configuration). <br />
  13. 13. Paper Product <br />
  14. 14. Online handwriting recognition<br />Higher recognition accuracy than OCR (Optical character recognition).<br />Achieve better result by analyze the way user write and lexicon dictionary.<br />Almost real time recognition.<br />
  15. 15. ICR Engine<br />
  16. 16. Character expert<br />
  17. 17. How does feature extraction apply to handwriting recognition?<br />the number of strokes involved,<br />where the stroke starts and finishes,<br />which direction it takes, and its slant,<br />where its curves and angles are,<br />and so on.<br />
  18. 18.
  19. 19. Segmentation expert<br />Isolated characters<br />Hand printed writing<br />Cursive writing<br />lrj<br />by<br />
  20. 20. Language expert<br />Alphabet knowledge<br />Linguistic knowledge<br />
  21. 21. Alphabet knowledge<br />
  22. 22. Linguistic knowledge<br />
  23. 23. Languages supported.<br />English and Latin based languages<br /> Japanese, Korean, Chinese.<br />
  24. 24. Applications<br />Student: record and take notes.<br />Journalist: record interview and take notes<br />Business and official: record meeting, take highlight notes. Share pencast to community.<br />Forms with introduction audio.<br />
  25. 25. For developer<br />Write application or game<br />App store<br />

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