USING A SCENE ILLUMINATING INFRARED EMITTER ARRAY IN A VIDEO MONITORING CAMERA FOR DEPTH DETERMINATION

    公开(公告)号:US20190387202A1

    公开(公告)日:2019-12-19

    申请号:US16544447

    申请日:2019-08-19

    Applicant: Google LLC

    Abstract: A method generates depth maps at a camera having illuminators, a lens assembly, an image sensing element, a processor, and memory. The illuminators operate in a first mode to provide illumination, the lens assembly focuses incident light on the image sensing element, the memory stores programs for execution by the processor, and the processor executes the programs to control operation of the camera. The method reconfigures the illuminators to operate in a second mode, where each of a plurality of subsets of the illuminators provides illumination of a scene separately. For each subset, the process activates the illuminators in the subset without activating illuminators not in the subset and receives reflected illumination from the scene incident on the lens assembly and focused onto the image sensing element. The measured light intensity values of the received reflected illumination at the image sensing element are transmitted to a remote server for processing.

    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.

    MULTI-PERSON LLM ASSISTANT INTERACTIONS

    公开(公告)号:US20250069604A1

    公开(公告)日:2025-02-27

    申请号:US18236249

    申请日:2023-08-21

    Applicant: GOOGLE LLC

    Abstract: Audio data is received via a client device, where the audio data captures a first utterance and a second utterance from different users. The audio data can be processed to determine a first transcription of the first utterance and a second transcription of the second utterance. The audio data can be further processed to determine a first account of a first user that provides the first utterance and a second account of a second user that provides the second utterance. A first natural language description including a first user ID of the first account and the first transcription can be generated, and a second natural language description including a second user ID of the second account and the second transcription can be generated. A generative model can be applied to process the first and natural language descriptions, to generate a response responsive to the first and second utterances.

    ARTIFICIAL INTELLIGENCE (AI)-BASED DOCUMENT RETRIEVAL DURING A VIRTUAL MEETING

    公开(公告)号:US20250023930A1

    公开(公告)日:2025-01-16

    申请号:US18352897

    申请日:2023-07-14

    Applicant: Google LLC

    Inventor: Dongeek Shin

    Abstract: Methods and systems for artificial intelligence (AI)-based document retrieval during a virtual meeting are provided herein. Discussion data based on multi-media stream(s) provided by client devices of participants of a virtual meeting is obtained. A determination is made of whether the discussion data corresponds to an information access query. In response to a determination that the discussion data corresponds to the information access query, the discussion data is provided as input to an AI model trained to identify one or more electronic documents including content that is relevant to given discussion data. An electronic document associated with at least one of the participants including content that is relevant to the given discussion data is identified based on output(s) of the AI model. At least a portion of the content of the electronic document is provided for presentation via a user interface (UI) at each client device associated with the participants.

    CONTENT GENERATION WITH INTEGRATED AUTOFORMATTING IN WORD PROCESSORS THAT DEPLOY LARGE LANGUAGE MODELS

    公开(公告)号:US20250021739A1

    公开(公告)日:2025-01-16

    申请号:US18351974

    申请日:2023-07-13

    Applicant: Google LLC

    Inventor: Dongeek Shin

    Abstract: Techniques and systems are disclosed that perform content generation with integrated automated formatting using word processing applications that deploy large language models (LLMs). The techniques include receiving, a natural language (NL) query for a synthetic content for a document, identifying formatting rules of the document, and generating an augmented query that includes a representation of at least a portion of the NL query and a representation of the one or more formatting rules of the document. The techniques further include providing the augmented query to an LLM and updating the document with the synthetic content generated by the LLM in response to the augmented query.

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