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公开(公告)号：US20240423512A1
公开(公告)日：2024-12-26
申请号：US18700512
申请日：2022-10-11
Applicant: Google LLC
Inventor： Christopher David Workman , Vahe Tshitoyan , Altaf Khetani , Cheongyuen William Tsang , Kelly Elizabeth Dobson
IPC: A61B5/145 , A61B5/1455 , G01N21/65 , G01N33/66
Abstract: The present disclosure provides computer-implemented methods, systems, and devices for non-invasively measuring a level of an analyte in a user using Stimulated Raman Scattering. A user computing device includes a Raman pump source that emits pump light toward a skin surface of the user at a pump wavelength. The device includes a Stokes source that emits Stokes light toward the skin surface at a plurality of Stokes wavelengths within a window of Raman measurement wavelengths. The Stokes light comprises a plurality of narrowband emissions at a respective plurality of center wavelengths ranging across the window of Raman measurement wavelengths. The device includes a photodetector that measures light that emanates from the skin surface. The device includes a processor that processes the measured light to provide an estimated analyte level of the user.
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Patent Agency Ranking
公开(公告)号：US12119019B2
公开(公告)日：2024-10-15
申请号：US17578217
申请日：2022-01-18
Applicant: Google LLC
Inventor： Julian Maclaren , Karolis Misiunas , Vahe Tshitoyan , Brian Foo , Kelly Dobson
CPC classification number: G10L25/51 , A61B5/02416 , G10L15/22 , G10L21/028 , G10L25/78 , H04R1/04 , H04R1/406 , H04R3/005 , A61B2503/12
Abstract: Various systems, devices, and methods for social interaction measurement that preserve privacy are presented. An audio signal can be captured using a microphone. The audio signal can be processed using an audio-based machine learning model that is trained to detect the presence of speech. The audio signal can be discarded such that content of the audio signal is not stored after the audio signal is processed using the machine learning model. An indication of whether speech is present within the audio signal can be output based at least in part on processing the audio signal using the audio-based machine learning model.
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公开(公告)号：US20250014591A1
公开(公告)日：2025-01-09
申请号：US18886136
申请日：2024-09-16
Applicant: Google LLC
Inventor： Julian Maclaren , Karolis Misiunas , Vahe Tshitoyan , Brian Foo , Kelly Dobson
Abstract: Various systems, devices, and methods for social interaction measurement that preserve privacy are presented. An audio signal can be captured using a microphone. The audio signal can be processed using an audio-based machine learning model that is trained to detect the presence of speech. The audio signal can be discarded such that content of the audio signal is not stored after the audio signal is processed using the machine learning model. An indication of whether speech is present within the audio signal can be output based at least in part on processing the audio signal using the audio-based machine learning model.
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公开(公告)号：US20240374178A1
公开(公告)日：2024-11-14
申请号：US18255747
申请日：2022-07-29
Applicant: Google LLC
IPC: A61B5/145 , A61B5/1455 , H01S5/40 , H01S5/42
Abstract: The present disclosure provides methods, systems, and devices for non-invasively measuring a level of an analyte in a user using Stimulated Raman Scattering. A device can include a Raman pump source that emits pump light toward a tissue at a pump wavelength and a Stokes source that emits Stokes light toward the tissue at one or more Stokes wavelengths. The device can further include one or more mirrors and lenses. The device can further include a beam controller that controls the one or more mirrors and the one or more lenses to target the pump light emitted by the Raman pump source and the Stokes light emitted by the Stokes source at an optimal target location. The device can further include a photodetector that measures light that emanates from the tissue. The device can further include a processor that estimates the level of the analyte in the user.
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公开(公告)号：US20230230612A1
公开(公告)日：2023-07-20
申请号：US17578217
申请日：2022-01-18
Applicant: Google LLC
Inventor： Julian Maclaren , Karolis Misiunas , Vahe Tshitoyan , Brian Foo , Kelly Dobson
CPC classification number: G10L25/51 , H04R1/406 , H04R1/04 , H04R3/005 , G10L21/028 , G10L25/78 , G10L15/22 , A61B5/02416 , A61B2503/12
Abstract: Various systems, devices, and methods for social interaction measurement that preserve privacy are presented. An audio signal can be captured using a microphone. The audio signal can be processed using an audio-based machine learning model that is trained to detect the presence of speech. The audio signal can be discarded such that content of the audio signal is not stored after the audio signal is processed using the machine learning model. An indication of whether speech is present within the audio signal can be output based at least in part on processing the audio signal using the audio-based machine learning model.
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公开(公告)号：US20210077011A1
公开(公告)日：2021-03-18
申请号：US17004394
申请日：2020-08-27
Applicant: Google LLC
Inventor： Julian Maclaren , Kurtis Robert Gross , Christopher Workman , Rafeed A. Chaudhury , Vahe Tshitoyan , Kelly Elizabeth Dobson
Abstract: A wearable device includes at least one attachment member and an electrodermal activity (EDA) sensor comprising an integrated electrode pair physically coupled to the at least one attachment member. The electrodermal activity sensor is configured to provide an EDA signal in response to contact between the integrated electrode pair and a skin surface of a user. The integrated electrode pair includes at least two concentric electrodes radially separated by at least one insulator. Each of the at least two concentric electrodes includes an upper surface configured to contact the skin surface of the user in order to generate the EDA signal.
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