Rule based application execution using multi-modal inputs

    公开(公告)号:US11144175B2

    公开(公告)日:2021-10-12

    申请号:US16299923

    申请日:2019-03-12

    Abstract: A system is provided. The system includes a microphone, a touchscreen display, at least one processor operatively connected to the microphone and the display, at least one memory operatively connected to the processor. The memory stores instructions that, when executed, cause the processor to receive a user utterance via the microphone, to display a user interface (UI) on the display, to receive a touch or gesture input associated with the UI via the display, to identify at least one item associated with the user interface, based at least partly on the touch or gesture input, to identify an intent based at least partly on the user utterance, to identify at least one parameter using at least part of the at least one item, and to provide a response, based at least partly on the intent and the at least one parameter.

    Electronic device and method for correcting handwriting by same

    公开(公告)号:US11087516B2

    公开(公告)日:2021-08-10

    申请号:US16774081

    申请日:2020-01-28

    Abstract: An electronic device and method are disclosed herein. The electronic device includes: a processor, and a memory operatively connected to the processor. The processor implements the method, including: receive an input of handwritten text including characters, set corpus line key points indicating a substantial-top positions of the characters included in the handwritten text and base line key points indicating a substantial bottom positions of the characters, calculate at least a first feature value based on at least one corpus line key point from among the corpus line key points, and a second feature value based on at least one extracted base line key point from among the base line key points, respectively, input the calculated first feature value into a first neural network to cause the first neural network to generate a first result value, input the calculated second feature value into a second neural network to cause the second neural network to generate a second result value, and input the first result value and the second result value into a fully connected neural network to generate a third result value.

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