Movement disorder diagnostics from video data using body landmark tracking

    公开(公告)号:US12279882B2

    公开(公告)日:2025-04-22

    申请号:US17872438

    申请日:2022-07-25

    Applicant: Google LLC

    Abstract: A method for facilitating a Parkinson's Disease (“PD”) assessment of a patient includes capturing first video of a patient performing first test movements while holding the mobile device; capturing second video of the patient performing second test movements while maintaining the mobile device on their person; capturing third video of the patient performing third test movements including standing and walking; capturing one or more IMU readings using an IMU of the mobile device; processing the first video, the second video, and the third video according to (i) a hand landmark model to generate one or more hand biomarkers, (ii) a face landmark model to generate one or more face biomarkers, and (iii) a body landmark model to generate one or more body biomarkers; and determining an assessment score based on a standardized PD assessment by processing the biomarkers.

    Managing Radio Functions in the Inactive State

    公开(公告)号:US20250126674A1

    公开(公告)日:2025-04-17

    申请号:US18293767

    申请日:2022-07-29

    Applicant: GOOGLE LLC

    Inventor: Chih-Hsiang Wu

    Abstract: A central unit (CU) of a distributed base station, the distributed base station including the CU and a distributed unit (DU), can implement a method for managing a radio function for communicating with a UE. The method may include determining (1202) to transmit a CU-to-DU message, related to control of data communication with the UE, to the DU, and determining (1204) whether the data communication requires the DU to perform the radio function. The method further includes, based on whether the data communication requires the DU to perform the radio function, determining (1206) whether to include an indication in the CU-to-DU message to enable the radio function at the DU. The method also includes transmitting (1208) the CU-to-DU message to the DU.

    DYNAMICALLY ADAPTING ON-DEVICE MODELS, OF GROUPED ASSISTANT DEVICES, FOR COOPERATIVE PROCESSING OF ASSISTANT REQUESTS

    公开(公告)号:US20250124929A1

    公开(公告)日:2025-04-17

    申请号:US18999855

    申请日:2024-12-23

    Applicant: GOOGLE LLC

    Abstract: Implementations are directed to dynamically adapting which assistant on-device model(s) are locally stored at assistant devices of an assistant device group and/or dynamically adapting the assistant processing role(s) of the assistant device(s) of the assistant device group. In some of those implementations, the corresponding on-device model(s) and/or corresponding processing role(s), for each of the assistant devices of the group, is determined based on collectively considering individual processing capabilities of the assistant devices of the group. Implementations are additionally or alternatively directed to cooperatively utilizing assistant devices of a group, and their associated post-adaptation on-device model(s) and/or post-adaptation processing role(s), in cooperatively processing assistant requests that are directed to any one of the assistant devices of the group.

    DIRECTING A VEHICLE CLIENT DEVICE TO USE ON-DEVICE FUNCTIONALITY

    公开(公告)号:US20250124923A1

    公开(公告)日:2025-04-17

    申请号:US18999808

    申请日:2024-12-23

    Applicant: GOOGLE LLC

    Abstract: Implementations set forth herein relate to phasing-out of vehicle computing device versions while ensuring useful responsiveness of any vehicle computing device versions that are still in operation. Certain features of updated computing devices may not be available to prior versions of computing devices because of hardware limitations. The implementations set forth herein eliminate crashes and wasteful data transmissions caused by prior versions of computing devices that have not been, or cannot be, upgraded. A server device can be responsive to a particular intent request provided to a vehicle computing device, despite the intent request being associated with an action that a particular version of the vehicle computing device cannot execute. In response, the server device can elect to provide speech to text data, and/or natural language understanding data, in furtherance of allowing the vehicle computing device to continue leveraging resources at the server device.

    SYSTEM(S) AND METHOD(S) FOR ENFORCING CONSISTENCY OF VALUE(S) AND UNIT(S) IN A VEHICULAR ENVIRONMENT

    公开(公告)号:US20250124922A1

    公开(公告)日:2025-04-17

    申请号:US18991953

    申请日:2024-12-23

    Applicant: GOOGLE LLC

    Abstract: Implementations described herein relate to determining how an automated assistant should respond to a given spoken utterance received in a vehicular environment to enforce consistency between value(s) and/or unit(s) that are displayed at a given display device of an in-vehicle computing device and value(s) and/or unit(s) that are utilized in executing a given vehicular command or that are provided for presentation to a user in response to a given vehicular request. For example, implementations can receive the given spoken utterance, identify the given vehicular command/request based on processing the given spoken utterance, and determine an original equipment manufacturer (OEM) query based on the given vehicular command/request included in the spoken utterance, and transmit the OEM query to a given OEM component. Further, implementations can determine how the automated assistant should respond to the given spoken utterance based on responsive content that is received from the given OEM component.

    ADAPTIVE HOWLING SUPPRESSION FOR ACTIVE NOISE CONTROL SYSTEMS

    公开(公告)号:US20250124909A1

    公开(公告)日:2025-04-17

    申请号:US18486267

    申请日:2023-10-13

    Applicant: Google LLC

    Abstract: Adaptive howling suppression is provided for active noise control (ANC) systems of wearable audio components (WACs), such as earbuds, based on detecting whether the WACs are presently being worn. Upon first detecting howling, embodiments can pre-suppress the howling audio signature by reducing ANC output. Then, embodiments detect whether the WAC is presently on-ear (worn) or off-ear and attempt to fully suppress the howling using different parameters, based on this detection. For example, if on-ear, embodiments use on-ear tuning settings to cycle through a set of suppression stages until ANC output can be restored without howling; if off-ear, embodiments use off-ear tuning settings to cycle through the set of suppression stages until ANC output can be restored without howling. Once ANC output can be restored without howling, the system can be released to a normal idle state.

    SYSTEM AND METHOD FOR REDUCING POWER CONSUMED BY A DISPLAY

    公开(公告)号:US20250124856A1

    公开(公告)日:2025-04-17

    申请号:US18913600

    申请日:2024-10-11

    Applicant: Google LLC

    Abstract: A word line regulator that can control an SRAM cell during a write process is disclosed. The SRAM cell is coupled to bit lines that are driven using a reduced voltage in order to conserve power. The SRAM cell includes a latch that is powered by a power supply in a power domain that is different from the bit lines. The word line regulator is configured to output a voltage that is based on the different power domains to ensure the proper operation of transistors in the SRAM cell during the write process.

    VIDEO-TEXT MODELING WITH ZERO-SHOT TRANSFER FROM CONTRASTIVE CAPTIONERS

    公开(公告)号:US20250124708A1

    公开(公告)日:2025-04-17

    申请号:US18694604

    申请日:2023-12-08

    Applicant: Google LLC

    Abstract: Provided is an efficient approach to establish a foundational video-text model for tasks including open-vocabulary video classification, text-to-video retrieval, video captioning and video question-answering. Some example implementations include a model which can be referred to as VideoCoCa. Example implementations reuse a pretrained image-text contrastive captioner (CoCa) model and adapt it to video-text tasks with little or minimal extra training. While previous works adapt image-text models with various cross-frame fusion modules (for example, cross-frame attention layer or perceiver resampler) and finetune the modified architecture on video-text data, aspects of the present disclosure leverage findings that the generative attentional pooling and contrastive attentional pooling layers in the image-text CoCa design are instantly adaptable to “flattened frame embeddings”, yielding a strong zero-shot transfer baseline for many video-text tasks.

    SYSTEMS, METHODS, AND APPARATUS FOR IMAGE-RESPONSIVE AUTOMATED ASSISTANTS

    公开(公告)号:US20250124707A1

    公开(公告)日:2025-04-17

    申请号:US18999889

    申请日:2024-12-23

    Applicant: GOOGLE LLC

    Abstract: Techniques described herein enable a user to interact with an automated assistant and obtain relevant output from the automated assistant without requiring arduous typed input to be provided by the user and/or without requiring the user to provide spoken input that could cause privacy concerns (e.g., if other individuals are nearby). The assistant application can operate in multiple different image conversation modes in which the assistant application is responsive to various objects in a field of view of the camera. The image conversation modes can be suggested to the user when a particular object is detected in the field of view of the camera. When the user selects an image conversation mode, the assistant application can thereafter provide output, for presentation, that is based on the selected image conversation mode and that is based on object(s) captured by image(s) of the camera.

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