Handwriting recognition on Livescribe smartpen

1. Livescribe smart pen Pulse smart pen Handwriting recognition on the pen.

2. Pulse smartpen

3. Hardware CPU: ARM 9 Screen: 96x18 OLED Display Camera: High speed infrared camera (over 70 images/sec) Battery: 300 mAH rechargeable lithium (non–removable) Storage: 1GB NAND (over 100 hours recording time)*

4. Livescribe dot paper Micro dots nearly invisible to human eyes Special pattern base on Anoto technology Dot size 100 micrometers in diameters arranged in a pattern with a spacing of approximately 0.3 mm.

5. Open Paper and Fixed Print Paper Open Paper (OP): Open Paper refers to regions of a Livescribe dot page that various Pulse smartpen applications can claim at runtime Fixed Print (FP): Fixed Print refers to regions of a Livescribe dot page that are defined by a Pulse smartpen application during application development.

7. Dot Pattern Organization

8. Page address: segment.shelf.book.page 1.2.3.4 denotes pattern page 4 in book 3, which is located on shelf 2 in segment 1. The first pattern page in a book and the first book on a shelf are identified as number 0. 1.2.3.* means all pattern pages in book 3, which is located on shelf 2 in segment 1.

9. How the Pulse Smartpen Works

10. Specifications The infrared camera takes snapshots between 50 and 100 times per second Takes snapshots of the dot pattern up to 7 mm from the tip Can record audio along with your written notes: Paper Replay Links the recorded audio to your notes.

11. Pulse Smartpen Applications

12. Penlet A Penlet is a Java application developed to interact with specific active regions defined on a Paper Product. The Livescribe Java API based on the Java Platform, Micro Edition (Java ME) and CLDC (Connected Limited Device Configuration).

13. Paper Product

14. Online handwriting recognition Higher recognition accuracy than OCR (Optical character recognition). Achieve better result by analyze the way user write and lexicon dictionary. Almost real time recognition.

15. ICR Engine

16. Character expert

17. How does feature extraction apply to handwriting recognition? the number of strokes involved, where the stroke starts and finishes, which direction it takes, and its slant, where its curves and angles are, and so on.

19. Segmentation expert Isolated characters Hand printed writing Cursive writing lrj by

20. Language expert Alphabet knowledge Linguistic knowledge

21. Alphabet knowledge

22. Linguistic knowledge

23. Languages supported. English and Latin based languages Japanese, Korean, Chinese.

24. Applications Student: record and take notes. Journalist: record interview and take notes Business and official: record meeting, take highlight notes. Share pencast to community. Forms with introduction audio.

25. For developer Write application or game App store