IDENTIFYING PHYSICAL ACTIVITIES PERFORMED BY A USER OF A COMPUTING DEVICE BASED ON MEDIA CONSUMPTION

    公开(公告)号:US20210192367A1

    公开(公告)日:2021-06-24

    申请号:US16725033

    申请日:2019-12-23

    Applicant: Google LLC

    Abstract: A method includes identifying, based on sensor data received by a motion sensor, a physical activity performed by a user of the computing system during a time period and determining whether the user consumed media during the time period that the user performed the physical activity. The method also includes responsive to determining that the user consumed the media during the time period that the user performed the physical activity, determining, based on data indicative of the media consumed by the user, an updated physical activity performed by the user during the time period; and outputting data indicating the updated physical activity.

    Platform independent lightweight user interface framework for glanceable surfaces

    公开(公告)号:US11941416B2

    公开(公告)日:2024-03-26

    申请号:US18006352

    申请日:2021-07-26

    Applicant: Google LLC

    CPC classification number: G06F9/451 G06F3/04842

    Abstract: One or more processors of a mobile computing device may receive, from a view provider, graphical user interface (GUI) view data that specifies, for each respective GUI view of a set of GUI views, a respective platform-neutral layout description and a respective one or more condition for the respective GUI view to be a relevant GUI view. The one or more processors may determine a GUI view as the relevant GUI view out of the set of GUI views based at least in part on one or more conditions for the GUI view specified by the GUI view data. The one or more processors may, in response to determining the GUI view as the relevant GUI view, output, based at least in part on a platform-neutral layout description for the GUI view specified by the GUI view data, the GUI view for display at a display device.

    PLATFORM INDEPENDENT LIGHTWEIGHT USER INTERFACE FRAMEWORK FOR GLANCEABLE SURFACES

    公开(公告)号:US20230315494A1

    公开(公告)日:2023-10-05

    申请号:US18006352

    申请日:2021-07-26

    Applicant: Google LLC

    CPC classification number: G06F9/451 G06F3/04842

    Abstract: One or more processors of a mobile computing device may receive, from a view provider, graphical user interface (GUI) view data that specifies, for each respective GUI view of a set of GUI views, a respective platform-neutral layout description and a respective one or more condition for the respective GUI view to be a relevant GUI view. The one or more processors may determine a GUI view as the relevant GUI view out of the set of GUI views based at least in part on one or more conditions for the GUI view specified by the GUI view data. The one or more processors may, in response to determining the GUI view as the relevant GUI view, output, based at least in part on a platform-neutral layout description for the GUI view specified by the GUI view data, the GUI view for display at a display device.

    Systems and methods for automatically suggesting media accompaniments based on identified media content

    公开(公告)号:US10467287B2

    公开(公告)日:2019-11-05

    申请号:US14104157

    申请日:2013-12-12

    Applicant: GOOGLE LLC

    Abstract: The disclosed technology includes automatically suggesting audio, video, or other media accompaniments to media content based on identified objects in the media content. Media content may include images, audio, video, or a combination. In one implementation, one or more images representative of the media content may be extracted. A visual search may be run across the images to identify objects or characteristics present in or associated with the media content. Keywords may be generated based on the identified objects and characteristics. The keywords may be used to determine suitable audio tracks to accompany the media content, for example by performing a search based on the keywords. The determined tracks may be presented to a user, or automatically arranged to match the media content. In another implementation, an aural search may be run across samples of the audio data to similarly identify objects and characteristics of the media content.

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