Method and Device for Optical Handwriting Recognition

US2016334941A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016334941-A1
Application numberUS-201514710454-A
CountryUS
Kind codeA1
Filing dateMay 12, 2015
Priority dateMay 12, 2015
Publication dateNov 17, 2016
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A method and a system for virtual handwriting recognition are disclosed. In an embodiment the method includes optically capturing a finger gesture by the camera unit of a computing device and transforming the finger gesture into a digital indicia by a processing unit of the computing device. The method further includes comparing the digital indicia with a stored indicia by the processing unit, wherein the stored indicia is stored in a memory unit of the computing device and displaying the digital indicia on a display of the computing device.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method for recognizing virtual handwriting, the method comprising: optically capturing a finger gesture by a camera unit of a computing device; transforming the finger gesture into a digital indicia by a processing unit of the computing device; comparing the digital indicia with a stored indicia by the processing unit, wherein the stored indicia is stored in a memory unit of the computing device; and displaying the digital indicia on a display of the computing device. 2 . The method according to claim 1 , wherein capturing the finger gesture comprises capturing a distal phalange gesture. 3 . The method according to claim 2 , wherein the distal phalange comprises a fingernail. 4 . The method according to claim 3 , wherein the fingernail comprises a shape of a cuticle. 5 . The method according to claim 3 , wherein the fingernail comprises a cuticle shape and a contrast between the cuticle shape and at least one of a nail plate, a nail bed and a nail fold. 6 . The method according to claim 1 , wherein optically capturing the finger gesture by the camera unit comprises tracking a movement of the finger performed on a surface. 7 . The method according to claim 1 , further comprising loading a document to be edited from the memory unit into the processing unit, and editing the document with the digital indicia. 8 . The method according to claim 1 , further comprising activating the camera unit by selecting a button of an I/O unit of the computing device or by selecting a button in a graphical interface of the display. 9 . The method according to claim 1 , wherein capturing the finger gesture comprises selecting a start function, tracking a finger gesture and selecting a stop function. 10 . The method according to claim 1 , wherein capturing the finger gesture comprises: selecting a start button on a graphical user interface of the display; tracking the finger moving over a surface in front of the camera unit; selecting a pause button on the graphical user interface of the display; selecting a continue button on the graphical user interface of the display; tracking the finger over the surface in front of the camera unit; and selecting a stop button on the graphical user interface of the display. 11 . The method according to claim 1 , further comprising storing indicia in the memory unit, the indicia being defined by a user. 12 . The method according to claim 1 , wherein the camera unit is integrated in the computing device. 13 . The method according to claim 1 , further comprising arranging the computing device on a holder, a support or stand before optically detecting the finger by a user. 14 . A computing device comprising: a processing unit; a computer-readable storage medium storing a program to be executed by the processing unit, the program including instructions for: optically receiving an indicia gestured by a finger of a user in front of a camera unit of the computing device; transforming the optical indicia into a digital indicia; comparing the digital indicia to a stored digital indicia; and displaying the digital indicia when the digital indicia matches the stored indicia. 15 . The device according to claim 14 , further comprising uploading a text file before optically receiving the indicia and editing the text file with the displayed digital indicia. 16 . The device according to claim 14 , further comprising displaying an error message when the digital indicia does not match the stored indicia. 17 . The device according to claim 14 , wherein the stored digital indicia are user defined indicia, and wherein the user defined indicia are defined by virtual handwriting gestures. 18 . A computing device comprising: an camera unit configured to receive optical indicia data provided by a virtual handwriting gesture of a user; a processing unit operatively connected to the camera unit, the processing unit configured to transform the optical indicia data into digital indicia data and compare the digital indicia data with stored digital indicia data, wherein the stored digital indicia data are stored in a memory unit, the memory unit operatively connected to the processing unit; and a display operatively connected to the processing unit, the display configured to display the digital indicia data when the digital indicia data match the stored indicia data. 19 . The computing device according to claim 18 , further comprising an I/O unit, the I/O unit operatively connected to the processing unit, wherein the I/O unit is key pad with physical buttons located on the computing device. 20 . The computing device according to claim 18 , further comprising an I/O unit, the I/O unit operatively connected to the processing unit, wherein the I/O unit is graphical user interface comprising a key board. 21 . A non-transitory computer readable medium that stores instructions to be executed by a computing device, the instructions comprising: optically capturing a finger gesture by a camera unit of the computing device; transforming the finger gesture into a digital indicia by a processing unit of the computing device; comparing the digital indicia with a stored indicia by the processing unit, wherein the stored indicia is stored in a memory unit of the computing device; and displaying the digital indicia on a display of the computing device.

Assignees

Inventors

Classifications

  • for inputting data by handwriting, e.g. gesture or text · CPC title

  • Gesture based interaction, e.g. based on a set of recognized hand gestures (interaction based on gestures traced on a digitiser G06F3/04883) · CPC title

  • Physics · mapped topic

  • G06F3/0426Primary

    tracking fingers with respect to a virtual keyboard projected or printed on the surface (virtual keyboards on touch screens G06F3/04886) · CPC title

  • using a single imaging device like a video camera for tracking the absolute position of a single or a plurality of objects with respect to an imaged reference surface, e.g. video camera imaging a display or a projection screen, a table or a wall surface, on which a computer generated image is displayed or projected (tracking a projected light spot to determine a position on a display surface G06F3/0386) · CPC title

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What does patent US2016334941A1 cover?
A method and a system for virtual handwriting recognition are disclosed. In an embodiment the method includes optically capturing a finger gesture by the camera unit of a computing device and transforming the finger gesture into a digital indicia by a processing unit of the computing device. The method further includes comparing the digital indicia with a stored indicia by the processing unit, …
Who is the assignee on this patent?
Futurewei Technologies Inc
What technology area does this patent fall under?
Primary CPC classification G06F3/04883. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Nov 17 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).