Personalized color temperature adaptation for consumer display devices

    公开(公告)号:US12067955B2

    公开(公告)日:2024-08-20

    申请号:US17702696

    申请日:2022-03-23

    Abstract: One embodiment provides a method comprising collecting ambient light sensing (ALS) data indicative of one or more ambient lighting conditions of a user within proximity of a display device, and collecting user preferences and characteristics (UPC) of the user. The UPC include a user-preferred display correlated color temperature (CCT). The user-preferred display CCT represents a CCT the user prefers for the display device. The method further comprises transmitting to a remote server the ALS data and the UPC, and receiving from the remote server one or more models constructed based in part on some of the ALS data and some of the UPC. The method further comprises automatically adjusting one or more color temperature settings of the display device based on the one or more models.

    GENERATION OF DEVICE SETTING RECOMMENDATIONS BASED ON USER ACTIVENESS IN CONFIGURING MULTIMEDIA OR OTHER USER DEVICE SETTINGS

    公开(公告)号:US20230388592A1

    公开(公告)日:2023-11-30

    申请号:US18299544

    申请日:2023-04-12

    Inventor: Ho Sub Lee

    CPC classification number: H04N21/4667 H04N21/4854 H04N21/4852

    Abstract: A method includes obtaining device usage log data associated with multiple user devices. The device usage log data is related to device settings associated with the user devices, where each device setting associated with the user devices is adjustable by users of the user devices. The method also includes obtaining one or more metrics representing each user's activeness in customizing one or more device settings of the user device associated with the user based on the device usage log data. The method further includes clustering the users into multiple groups based on the metric(s) and identifying at least one of the groups as being at least one valid user group. In addition, the method includes providing one or more recommendations of at least one customized device setting to one or more of the user devices based on the device usage log data associated with the valid user group(s).

    PERSONALIZED COLOR TEMPERATURE ADAPTATION FOR CONSUMER DISPLAY DEVICES

    公开(公告)号:US20230306926A1

    公开(公告)日:2023-09-28

    申请号:US17702696

    申请日:2022-03-23

    Abstract: One embodiment provides a method comprising collecting ambient light sensing (ALS) data indicative of one or more ambient lighting conditions of a user within proximity of a display device, and collecting user preferences and characteristics (UPC) of the user. The UPC include a user-preferred display correlated color temperature (CCT). The user-preferred display CCT represents a CCT the user prefers for the display device. The method further comprises transmitting to a remote server the ALS data and the UPC, and receiving from the remote server one or more models constructed based in part on some of the ALS data and some of the UPC. The method further comprises automatically adjusting one or more color temperature settings of the display device based on the one or more models.

    Providing situational device settings for consumer electronics and discovering user-preferred device settings for consumer electronics

    公开(公告)号:US11637920B2

    公开(公告)日:2023-04-25

    申请号:US17126558

    申请日:2020-12-18

    Abstract: One embodiment provides a method comprising receiving device setting behavioral data collected from one or more consumer electronic (CE) devices, and generating one or more machine learning (ML) models based on a portion of the device setting behavioral data. In one embodiment, the method comprises predicting, via the one or more ML models, a device setting suitable for a CE device based on a current user context, and providing a recommendation comprising the predicted device setting to the CE device. In another embodiment, the method comprises clustering, via the one or more ML models, at least one user associated with the one or more user-initiated adjustments into at least one user group, and determining one or more user-preferred device settings that the user group prefers most. The one or more user-preferred device settings are provided to a CE device as one or more new device settings available for user selection.

    PROVIDING SITUATIONAL DEVICE SETTINGS FOR CONSUMER ELECTRONICS AND DISCOVERING USER-PREFERRED DEVICE SETTINGS FOR CONSUMER ELECTRONICS

    公开(公告)号:US20220030102A1

    公开(公告)日:2022-01-27

    申请号:US17126558

    申请日:2020-12-18

    Abstract: One embodiment provides a method comprising receiving device setting behavioral data collected from one or more consumer electronic (CE) devices, and generating one or more machine learning (ML) models based on a portion of the device setting behavioral data. In one embodiment, the method comprises predicting, via the one or more ML models, a device setting suitable for a CE device based on a current user context, and providing a recommendation comprising the predicted device setting to the CE device. In another embodiment, the method comprises clustering, via the one or more ML models, at least one user associated with the one or more user-initiated adjustments into at least one user group, and determining one or more user-preferred device settings that the user group prefers most. The one or more user-preferred device settings are provided to a CE device as one or more new device settings available for user selection.

Patent Agency Ranking