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    • 1. 发明申请
    • USER INPUT PREDICTION
    • US20170199664A1
    • 2017-07-13
    • US15465200
    • 2017-03-21
    • TouchType, Ltd.
    • Benjamin MedlockDouglas Alexander Harper Orr
    • G06F3/0488G06F17/27
    • G06F3/04886G06F3/0237G06F17/276
    • Disclosed are systems and methods that model a user's interaction with a user interface. There is provided a data input system, comprising a user interface having a plurality of targets and being configured to receive user input. The system comprises a plurality of models, each of which relates previous user input events corresponding to a target to that target. An input probability generator is configured to generate, in association with the plurality of models, a probability that a user input event corresponds to a particular target. There is also provided a method of modeling a target of a user interface having a plurality of targets and being configured to receive input, by modeling for each target previous user input events which correspond to that target. Furthermore, there is provided a method of inputting data into a system comprising a user interface having a plurality of targets and being configured to receive input. The method comprises generating using an input probability generator in association with a plurality of models, each model relating previous input events corresponding to a target to that target, a probability that a user input event corresponds to a particular target.
    • 2. 发明申请
    • USER INPUT PREDICTION
    • US20200019308A1
    • 2020-01-16
    • US16556853
    • 2019-08-30
    • Touchtype Ltd
    • Benjamin William MedlockDouglas Alexander Harper Orr
    • G06F3/0488G06F3/023G06F17/27
    • Disclosed are systems and methods that model a user's interaction with a user interface. There is provided a data input system, comprising a user interface having a plurality of targets and being configured to receive user input. The system comprises a plurality of models, each of which relates previous user input events corresponding to a target to that target. An input probability generator is configured to generate, in association with the plurality of models, a probability that a user input event corresponds to a particular target. There is also provided a method of modelling a target of a user interface having a plurality of targets and being configured to receive input, by modelling for each target previous user input events which correspond to that target. Furthermore, there is provided a method of inputting data into a system comprising a user interface having a plurality of targets and being configured to receive input. The method comprises generating using an input probability generator in association with a plurality of models, each model relating previous input events corresponding to a target to that target, a probability that a user input event corresponds to a particular target.
    • 7. 发明授权
    • User input prediction
    • US10416885B2
    • 2019-09-17
    • US15465200
    • 2017-03-21
    • TouchType, Ltd.
    • Benjamin MedlockDouglas Alexander Harper Orr
    • G06F3/048G06F3/0488G06F3/023G06F17/27
    • Disclosed are systems and methods that model a user's interaction with a user interface. There is provided a data input system, comprising a user interface having a plurality of targets and being configured to receive user input. The system comprises a plurality of models, each of which relates previous user input events corresponding to a target to that target. An input probability generator is configured to generate, in association with the plurality of models, a probability that a user input event corresponds to a particular target. There is also provided a method of modelling a target of a user interface having a plurality of targets and being configured to receive input, by modelling for each target previous user input events which correspond to that target. Furthermore, there is provided a method of inputting data into a system comprising a user interface having a plurality of targets and being configured to receive input. The method comprises generating using an input probability generator in association with a plurality of models, each model relating previous input events corresponding to a target to that target, a probability that a user input event corresponds to a particular target.