Surface classifications

US2023077550A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023077550-A1
Application numberUS-202117476077-A
CountryUS
Kind codeA1
Filing dateSep 15, 2021
Priority dateSep 15, 2021
Publication dateMar 16, 2023
Grant date

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  1. Title

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  2. Abstract

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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.

In some examples, an electronic device includes a tip pressure sensor to capture tip pressure data based on a writing surface. In some examples, the electronic device includes a processor to produce a classification of the writing surface based on the tip pressure data via a machine learning model. In some examples, the electronic device may include a haptic device to control haptic feedback based on the classification.

First claim

Opening claim text (preview).

1 . An electronic device, comprising: a tip pressure sensor to capture tip pressure data based on a writing surface; a processor to produce a classification of the writing surface based on the tip pressure data via a machine learning model, wherein the machine learning model is an artificial neural network; and a haptic device to control haptic feedback based on the classification. 2 . The electronic device of claim 1 , wherein the classification indicates a surface type of the writing surface. 3 . The electronic device of claim 1 , wherein the classification indicates a roughness metric. 4 . The electronic device of claim 3 , wherein the haptic device is to control haptic feedback with an inverse relationship relative to the roughness metric indicated by the classification. 5 . The electronic device of claim 1 , wherein the machine learning model is trained using training data labeled with a surface type. 6 . The electronic device of claim 1 , further comprising an internal bus to communicate the classification from the processor to the haptic device. 7 . The electronic device of claim 1 , wherein the haptic device is to control haptic feedback further based on user setting data. 8 . The electronic device of claim 1 , further comprising a grip sensor to capture grip data, wherein the processor is to produce the classification based on the grip data. 9 . The electronic device of claim 1 , wherein the processor is to produce the classification based on orientation data, coordinate data, or speed data. 10 . An apparatus, comprising: a communication interface to receive tip pressure data from a stylus device; a touchscreen controller to determine information comprising coordinate data, orientation data, or speed data corresponding to the stylus device; and a processor to produce a writing surface classification using a machine learning model based on the tip pressure data and the information, wherein the machine learning model is an artificial neural network. 11 . The apparatus of claim 10 , wherein the communication interface is to send the writing surface classification to the stylus device. 12 . The apparatus of claim 10 , wherein the machine learning model is a multilayer perceptron (MLP) model. 13 . A non-transitory tangible computer-readable medium comprising instructions when executed cause a processor of an electronic device to: receive tip pressure data captured by a tip pressure sensor, wherein the tip pressure data is captured while a stylus tip is in contact with a writing surface; predict, using a machine learning model, a classification of the writing surface based on the tip pressure data, wherein the machine learning model is an artificial neural network; and send the classification to a haptic device. 14 . The non-transitory tangible computer-readable medium of claim 13 , wherein the classification is sent to the haptic device via a wireless communication interface. 15 . The non-transitory tangible computer-readable medium of claim 13 , wherein the classification is sent to the haptic device via an internal bus.

Assignees

Inventors

Classifications

  • for exchanging data with external devices, e.g. smart pens, via the digitiser sensing hardware · CPC title

  • Interaction techniques based on graphical user interfaces [GUI] · CPC title

  • Pens or stylus · CPC title

  • G06F3/016Primary

    Input arrangements with force or tactile feedback as computer generated output to the user · CPC title

  • Wireless input, i.e. hardware and software details of wireless interface arrangements for pointing devices · CPC title

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What does patent US2023077550A1 cover?
In some examples, an electronic device includes a tip pressure sensor to capture tip pressure data based on a writing surface. In some examples, the electronic device includes a processor to produce a classification of the writing surface based on the tip pressure data via a machine learning model. In some examples, the electronic device may include a haptic device to control haptic feedback ba…
Who is the assignee on this patent?
Hewlett Packard Development Co
What technology area does this patent fall under?
Primary CPC classification G06F3/03545. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Mar 16 2023 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 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).