GUIDING FINGERPRINT SENSING VIA USER FEEDBACK

    公开(公告)号:US20230360444A1

    公开(公告)日:2023-11-09

    申请号:US18245454

    申请日:2020-09-22

    Applicant: Google LLC

    CPC classification number: G06V40/67 G06V40/13 G06V40/1365 G06F3/016 G06F21/32

    Abstract: An example method includes initiating, by a computing device, a fingerprint sensing operation that is associated with a fingerprint sensor, outputting, by the computing device and over a defined period of time, a sequence of haptic signals with varying intensity, wherein each haptic signal in the sequence has an intensity that is different than a respective intensity of any haptic signal that was previously output in the sequence, obtaining, by the computing device and from the fingerprint sensor, fingerprint data associated with a fingerprint of the finger of the user, and responsive to determining that the finger of the user is still positioned at the fingerprint sensor upon completion of the fingerprint sensing operation, outputting, by the computing device, a discrete haptic signal indicating a successful completion of the fingerprint sensing operation.

    Neural network for keyboard input decoding

    公开(公告)号:US11573698B2

    公开(公告)日:2023-02-07

    申请号:US17469622

    申请日:2021-09-08

    Applicant: Google LLC

    Abstract: In some examples, a computing device includes at least one processor; and at least one module, operable by the at least one processor to: output, for display at an output device, a graphical keyboard; receive an indication of a gesture detected at a location of a presence-sensitive input device, wherein the location of the presence-sensitive input device corresponds to a location of the output device that outputs the graphical keyboard; determine, based on at least one spatial feature of the gesture that is processed by the computing device using a neural network, at least one character string, wherein the at least one spatial feature indicates at least one physical property of the gesture; and output, for display at the output device, based at least in part on the processing of the at least one spatial feature of the gesture using the neural network, the at least one character string.

    Neural network for keyboard input decoding
    4.
    发明授权

    公开(公告)号:US10671281B2

    公开(公告)日:2020-06-02

    申请号:US16261640

    申请日:2019-01-30

    Applicant: Google LLC

    Abstract: In some examples, a computing device includes at least one processor; and at least one module, operable by the at least one processor to: output, for display at an output device, a graphical keyboard; receive an indication of a gesture detected at a location of a presence-sensitive input device, wherein the location of the presence-sensitive input device corresponds to a location of the output device that outputs the graphical keyboard; determine, based on at least one spatial feature of the gesture that is processed by the computing device using a neural network, at least one character string, wherein the at least one spatial feature indicates at least one physical property of the gesture; and output, for display at the output device, based at least in part on the processing of the at least one spatial feature of the gesture using the neural network, the at least one character string.

    Intelligent touchscreen keyboard with finger differentiation

    公开(公告)号:US10372328B2

    公开(公告)日:2019-08-06

    申请号:US15268928

    申请日:2016-09-19

    Applicant: Google LLC

    Inventor: Shumin Zhai

    Abstract: Implementations of the present disclosure include actions of displaying a plurality of keys on a touchscreen of a computing device, receiving user input to the touchscreen, the user input including a contact with the touchscreen, in response to receiving the user input, determining spatial information associated with the contact and generating an image of the contact, determining an output based on the image and the spatial information, and executing the output.

    ALTERNATIVE HYPOTHESIS ERROR CORRECTION FOR GESTURE TYPING

    公开(公告)号:US20180074698A1

    公开(公告)日:2018-03-15

    申请号:US15808233

    申请日:2017-11-09

    Applicant: Google LLC

    Abstract: In one example, a method may include outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys, and receiving an indication of a gesture. The method may include determining an alignment score that is based at least in part on a word prefix and an alignment point traversed by the gesture. The method may include determining at least one alternative character that is based at least in part on a misspelling that includes at least a portion of the word prefix. The method may include determining an alternative alignment score based at least in part on the alternative character; and outputting, by the computing device and for display, based at least in part on the alternative alignment score, a candidate word based at least in part on the alternative character.

    Touch Keyboard Using a Trained Model
    8.
    发明申请

    公开(公告)号:US20200081974A1

    公开(公告)日:2020-03-12

    申请号:US16683895

    申请日:2019-11-14

    Applicant: Google LLC

    Abstract: A computing device outputs for display at a presence-sensitive display, a graphical keyboard comprising a plurality of keys, receives an indication of at least one gesture to select a group of keys of the plurality of keys, and determines at least one characteristic associated with the at least one gesture to select the group of keys of the plurality of keys. The computing device modifies a spatial model based at least in part on the at least one characteristic and determines a candidate word based at least in part on data provided by the spatial model and a language model, wherein the spatial model provides data based at least in part on the indication of the at least one gesture and wherein the language model provides data based at least in part on a lexicon. The computing device outputs for display at the presence-sensitive display, the candidate word.

    Incremental Multi-Word Recognition
    9.
    发明申请

    公开(公告)号:US20200050661A1

    公开(公告)日:2020-02-13

    申请号:US16655067

    申请日:2019-10-16

    Applicant: Google LLC

    Abstract: In one example, a computing device includes at least one processor that is operatively coupled to a presence-sensitive display and a gesture module operable by the at least one processor. The gesture module may be operable by the at least one processor to output, for display at the presence-sensitive display, a graphical keyboard comprising a plurality of keys and receive an indication of a continuous gesture detected at the presence-sensitive display, the continuous gesture to select a group of keys of the plurality of keys. The gesture module may be further operable to determine, in response to receiving the indication of the continuous gesture and based at least in part on the group of keys of the plurality of keys, a candidate phrase comprising a group of candidate words.

    Force-sensitive user input interface for an electronic device

    公开(公告)号:US10514797B2

    公开(公告)日:2019-12-24

    申请号:US15490760

    申请日:2017-04-18

    Applicant: Google LLC

    Abstract: A method includes one or more processors of an electronic device receiving signals from multiple sensors located along an edge of the device. The signals are received in response to external contact being provided to the edge of the device. At least one processor determines a distribution of forces applied to the sensors based on the input signals. Based on the determined distribution of forces, the processor determines: i) a location of the external contact that is offset from a location of each of the multiple sensors, and ii) a magnitude of the force of the external contact. The processor detects whether sensing criteria has been satisfied based on an analysis of: i) the location of the external contact and ii) the magnitude of the force of the external contact. Responsive to detecting that sensing criteria has been satisfied, the processor executes a user input action.

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