Cognitively inducing sleep cycles by leveraging wearables

    公开(公告)号:US11097079B2

    公开(公告)日:2021-08-24

    申请号:US15824514

    申请日:2017-11-28

    Abstract: A computer-implemented method, system, and computer program product to optimize sleep quality by inducing sleep stages. The method includes: determining a total sleep time; calculating, using the total sleep time, a cycle duration for a sleep cycle, where the sleep cycle includes a first, second, third, fourth, and fifth sleep stage; calculating a first, second, third, fourth, and fifth stage time for the first, second, third, fourth, and fifth sleep stages respectively; generating a first, second, third, fourth, and fifth external parameter for the first, second, third, fourth, and fifth sleep stages respectively, where the external parameters are parameters to facilitate a transition between sleep stages; and executing the first, second, third, fourth, and fifth external parameters upon reaching the calculated stage time for the corresponding sleep stages.

    Character input error correction
    14.
    发明授权

    公开(公告)号:US10831284B2

    公开(公告)日:2020-11-10

    申请号:US16451703

    申请日:2019-06-25

    Abstract: Character input error correction is provided by receiving from a keyboard character input by a user. The character input includes character input errors by the user, the character input errors being input of incorrect characters by the user via the keyboard. The character input errors of the character input are automatically identified and classified into character error classification(s). Each character error classification corresponds to a respective visual transformation of input characters. It is determined that a frequency of the identified and classified character input errors exceeds a predefined threshold confidence level for triggering application of keyboard corrections for user input. Based on the determining, keyboard corrections are applied for user input. The applying keyboard corrections includes applying a correction to character(s) displayed for or input by the user. The applied correction is based on at least one of the classification(s) into which the character input errors are classified.

    Wash related to contaminant exposure time

    公开(公告)号:US10809673B2

    公开(公告)日:2020-10-20

    申请号:US16182984

    申请日:2018-11-07

    Abstract: Embodiments determine historical geographic travel data of a vehicle over a contaminant exposure time period that is inclusive of a present time; identify a contaminant that is likely located on an external surface of the vehicle as a function of historic meteorological and terrain data of the historical geographic travel data of a vehicle over a contaminant exposure time period; select a cleaning solution that is appropriate for use in cleaning the identified contaminant from the external surface of the vehicle; and drive a vehicle wash system nozzle to use the selected cleaning solution to wash the identified contaminant from the external surface of the vehicle.

    CHARACTER INPUT ERROR CORRECTION
    16.
    发明申请

    公开(公告)号:US20190317612A1

    公开(公告)日:2019-10-17

    申请号:US16451703

    申请日:2019-06-25

    Abstract: Character input error correction is provided by receiving from a keyboard character input by a user. The character input includes character input errors by the user, the character input errors being input of incorrect characters by the user via the keyboard. The character input errors of the character input are automatically identified and classified into character error classification(s). Each character error classification corresponds to a respective visual transformation of input characters. It is determined that a frequency of the identified and classified character input errors exceeds a predefined threshold confidence level for triggering application of keyboard corrections for user input. Based on the determining, keyboard corrections are applied for user input. The applying keyboard corrections includes applying a correction to character(s) displayed for or input by the user. The applied correction is based on at least one of the classification(s) into which the character input errors are classified.

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