Multi-Gesture Text Input Prediction

    公开(公告)号:US20210192135A1

    公开(公告)日:2021-06-24

    申请号:US17192105

    申请日:2021-03-04

    Applicant: Google LLC

    Abstract: A computing device outputs a keyboard for display, receives an indication of a first gesture to select a first sequence of one or more keys, determines a set of candidate strings based in part on the first sequence of keys, and outputs for display at least one of the set of candidate strings. The computing device receives an indication of a second gesture to select a second sequence of one or more keys, and determines that characters associated with the second sequence of keys are included in a first candidate word based at least in part on the set of candidate strings, or are included in a second candidate word not based on the first sequence of keys. The computing device modifies the set of candidate strings based at least in part on the determination and outputs for display at least one of the modified candidate strings.

    GENERATING LOW FREQUENCY HAPTIC EFFECTS WITH NARROWBAND ACTUATORS

    公开(公告)号:US20240192779A1

    公开(公告)日:2024-06-13

    申请号:US18553033

    申请日:2021-03-31

    Applicant: Google LLC

    CPC classification number: G06F3/016

    Abstract: A computing device may determine a haptic effect to be produced by a haptic device of the computing device. The computing device may select, based at least in part on the haptic effect, a modulation frequency. The computing device may determine a combination of a carrier frequency and the modulation frequency to produce the haptic effect. The computing device may drive the haptic device according to the combination of the carrier frequency and the modulation frequency to output a vibration pattern associated with the haptic effect.

    Touch Keyboard Using a Trained Model

    公开(公告)号:US20220229988A1

    公开(公告)日:2022-07-21

    申请号:US17658227

    申请日:2022-04-06

    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.

    Neural Network for Keyboard Input Decoding

    公开(公告)号:US20210405868A1

    公开(公告)日:2021-12-30

    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.

    Touch keyboard using language and spatial models

    公开(公告)号:US10528663B2

    公开(公告)日:2020-01-07

    申请号:US15795955

    申请日:2017-10-27

    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.

    Alternative hypothesis error correction for gesture typing

    公开(公告)号:US10241673B2

    公开(公告)日:2019-03-26

    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.

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