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公开(公告)号:US12127825B2
公开(公告)日:2024-10-29
申请号:US17608319
申请日:2019-05-08
Applicant: Google LLC
Inventor: Dongeek Shin , Brandon Barbello , Shwetak Patel , Anupam Pathak , Michael Dixon
CPC classification number: A61B5/0507 , A61B5/024 , A61B5/0816 , A61B5/1116 , A61B5/4815 , A61B5/6898 , A61B5/725 , A61B5/7267 , G01S13/282
Abstract: Various arrangements for performing radar-based measurement of vital signs. Waveform data may be received then filtered of data indicative of static objects to obtain motion-indicative waveform data. The motion-indicative waveform data may be analyzed to determine one or more frequencies of movement present within the motion-indicative waveform data. A spectral analysis may be performed on the motion-indicative waveform data to determine a spectral-analysis state of a monitored region. The spectral-analysis state of the monitored region may be determined to match a predefined spectral-analysis state during which vital sign monitoring is permitted. One or more vital signs of a monitored user present within the monitored region may be determined and output based on analyzing the motion-indicative waveform data.
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公开(公告)号:US20240112559A1
公开(公告)日:2024-04-04
申请号:US18524352
申请日:2023-11-30
Applicant: Google LLC
Inventor: Dongeek Shin , Shwetak Patel , Rizwan Chaudhry , Chetan Bhole , Vaibhav Darbari , Todd Whitehurst , Anupam Pathak
CPC classification number: G08B21/043 , G01S13/32 , G01S13/58 , G08B21/0469
Abstract: Various arrangements for performing fall detection are presented. A smart-home device may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person has occurred. Speech may then be output announcing that the fall has been detected via the speaker of the smart home device.
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公开(公告)号:US20240292217A1
公开(公告)日:2024-08-29
申请号:US18692411
申请日:2021-10-07
Applicant: Google LLC
Inventor: Dongeek Shin , Anupam Pathak
Abstract: A computer-implemented authentication method comprises broadcasting, by a first device, an ultrawideband (UWB) message. The first device receives one or more UWB responses to the UWB message from one or more UWB equipped devices and determines respective distances to the one or more UWB equipped devices based on timing information associated with the UWB message and the one or more UWB responses. The method further comprises determining one or more of the UWB equipped devices having a respective distance to the first device that is within a threshold radius of the first device to be authenticatable devices, and communicating, by the first device, authentication information to one or more of the authenticatable devices to authenticate a user of the first device on the one or more authenticatable devices.
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公开(公告)号:US20230316142A1
公开(公告)日:2023-10-05
申请号:US18130731
申请日:2023-04-04
Applicant: Google LLC
Inventor: Michael Dixon , Anupam Pathak , Dongeek Shin , Arnaud Charton , Jian Cui
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: Various arrangements are presented for training and using a machine learning model. A first training data set may be created that has more samples but fewer dimensions than a second dataset. A second set of training data, created from the second dataset, has at least one additional dimension of data than the first set of training data. An additional dimension of data can then be simulated for the first set of training data. The simulated additional dimension of data can be incorporated with the first set of training data. A first machine learning model can be trained based on the first set of training data that comprises the simulated additional dimension of data to obtain various weights. A second machine learning model can then be trained based on the second set of training data and the obtained plurality of weights from the first trained machine learning model.
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公开(公告)号:US20220218224A1
公开(公告)日:2022-07-14
申请号:US17608319
申请日:2019-05-08
Applicant: Google LLC
Inventor: Dongeek Shin , Brandon Barbello , Shwetak Patel , Anupam Pathak , Michael Dixon
Abstract: Various arrangements for performing radar-based measurement of vital signs. Waveform data may be received then filtered of data indicative of static objects to obtain motion-indicative waveform data. The motion-indicative waveform data may be analyzed to determine one or more frequencies of movement present within the motion-indicative waveform data. A spectral analysis may be performed on the motion-indicative waveform data to determine a spectral-analysis state of a monitored region. The spectral-analysis state of the monitored region may be determined to match a predefined spectral-analysis state during which vital sign monitoring is permitted. One or more vital signs of a monitored user present within the monitored region may be determined and output based on analyzing the motion-indicative waveform data.
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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
Inventor: Dongeek Shin , Anupam Pathak
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.
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公开(公告)号:US20250000380A1
公开(公告)日:2025-01-02
申请号:US18830149
申请日:2024-09-10
Applicant: Google LLC
Inventor: Dongeek Shin , Brandon Barbello , Shwetak Patel , Anupam Pathak , Michael Dixon
Abstract: Various arrangements for performing radar-based measurement of vital signs. Waveform data may be received then filtered of data indicative of static objects to obtain motion-indicative waveform data. The motion-indicative waveform data may be analyzed to determine one or more frequencies of movement present within the motion-indicative waveform data. A spectral analysis may be performed on the motion-indicative waveform data to determine a spectral-analysis state of a monitored region. The spectral-analysis state of the monitored region may be determined to match a predefined spectral-analysis state during which vital sign monitoring is permitted. One or more vital signs of a monitored user present within the monitored region may be determined and output based on analyzing the motion-indicative waveform data.
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公开(公告)号:US11875659B2
公开(公告)日:2024-01-16
申请号:US17784024
申请日:2019-12-12
Applicant: Google LLC
Inventor: Dongeek Shin , Shwetak Patel , Rizwan Chaudhry , Chetan Bhole , Vaibhav Darbari , Todd Whitehurst , Anupam Pathak
CPC classification number: G08B21/043 , G01S13/32 , G01S13/58 , G08B21/0469
Abstract: Various arrangements for performing fall detection are presented. A smart-home device (110, 201), comprising a monolithic radar integrated circuit (205), may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person (101) has occurred. Speech may then be output announcing that the fall has been detected via the speaker (217) of the smart home device (110, 201).
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公开(公告)号:US20220167481A1
公开(公告)日:2022-05-26
申请号:US17521063
申请日:2021-11-08
Applicant: Google LLC
Inventor: Dongeek Shin , Shwetak Patel , Anupam Pathak
IPC: H05B47/11 , H05B47/19 , H05B47/115 , G08B21/24
Abstract: Systems and techniques are provided for light source status detection. Ambient light values generated by an ambient light sensor of a device in an environment over a period of time may be received. A first light source model for the device may be generated using a first subset of the ambient light values. A second light source model for the device may be generated using a second subset of the ambient light values. A current ambient light value generated by the ambient light sensor of the device may be received. The first light source model or the second light source model may be selected based on a time at which the current ambient light value was generated. Whether the current ambient light value indicates that a local artificial light source is on may be determined using the current ambient light value and selected light source model.
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