handwriting recognition on livescribe smartpen

Post on 14-May-2015

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Handwriting recognition on Livescribe smartpen

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Livescribe smart pen

Pulse smart penHandwriting recognition on the pen.

Pulse smartpen

Hardware

CPU: ARM 9Screen: 96x18 OLED DisplayCamera: High speed infrared camera

(over 70 images/sec)Battery: 300 mAH rechargeable lithium

(non–removable)Storage: 1GB NAND (over 100 hours

recording time)*

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.

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.

Dot Pattern Organization

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.

How the Pulse Smartpen Works

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.

Pulse Smartpen Applications

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).

Paper Product

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.

ICR Engine

Character expert

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.

Segmentation expert

Isolated charactersHand printed writingCursive writing

by

lrj

Language expert

Alphabet knowledgeLinguistic knowledge

Alphabet knowledge

Linguistic knowledge

Languages supported.

English and Latin based languages Japanese, Korean, Chinese.

Applications

Student: record and take notes.Journalist: record interview and take

notesBusiness and official: record meeting,

take highlight notes. Share pencast to community.

Forms with introduction audio.

For developer

Write application or gameApp store

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