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公开(公告)号：US20230413293A1
公开(公告)日：2023-12-21
申请号：US18239700
申请日：2023-08-29
Applicant: Apple Inc.
Inventor： Oren Shani , Josef Peery , Leonid Vainbrand , Udi Atar , Yoav Feinmesser , Yoel Boger
CPC classification number: H04W72/30 , H04B17/27 , H04W64/006 , H04L5/005
Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations comprising periodically broadcasting, by a first wireless device, outgoing ranging packets on a measurement channel of a wireless network; receiving, by the first wireless device on the measurement channel and from a second wireless device, a plurality of incoming ranging data packets; and calculating, by the first wireless device and using a three ranging packet exchange with the second wireless device, a range to the second wireless device.
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公开(公告)号：US20230179671A1
公开(公告)日：2023-06-08
申请号：US18102680
申请日：2023-01-27
Applicant: Apple Inc.
Inventor： Yoav Feinmesser , Rafi Vitory , Ron Eyal , Eyal Waserman , Yunxing Ye
CPC classification number: H04L67/52 , G06N20/00 , H04L67/535 , H04W4/33 , H04W4/38
Abstract: A semi-supervised machine learning model can provide for classifying an input data point as associated with a particular target location or a particular action. Each data point comprises one or more sensor values from one or more signals emitted by one or more signal sources located within a physical area. A tagged sample set and an untagged sample set are combined to train the machine learning model. Each tagged sample includes a respective data point and a label representing a respective location/action. Each untagged sample includes a data point but is unlabeled. Once trained, given a current data point, the machine learning model can classify the current data point as associated with a particular location/action, after which a target object (e.g., other device or application to be used) can be predicted.
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公开(公告)号：US10243710B2
公开(公告)日：2019-03-26
申请号：US15257866
申请日：2016-09-06
Applicant: Apple Inc.
Inventor： Yoav Feinmesser , Rafi Vitory
Abstract: A device implementing spectral aggregation to generate a wideband channel estimation may include a processor configured to generate a combined channel estimation for one or more channels. For each channel, the processor may be configured to: transmit a first signal to another device; after an amount of time elapses, open a receive window for facilitating detection of a second signal from the other device; receive the second signal from the other device; generate a first channel estimation based on the second signal; and generate the combined channel estimation based on the first channel estimation and a second channel estimation received from the other device. The processor may be configured to aggregate the combined channel estimation generated for each channel into an aggregated channel estimation. The processor may be configured to estimate a time of arrival for a third signal based on the aggregated channel estimation.
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公开(公告)号：US11870563B2
公开(公告)日：2024-01-09
申请号：US18102680
申请日：2023-01-27
Applicant: Apple Inc.
Inventor： Yoav Feinmesser , Rafi Vitory , Ron Eyal , Eyal Waserman , Yunxing Ye
CPC classification number: H04L67/52 , G06N20/00 , H04L67/535 , H04W4/33 , H04W4/38
Abstract: A semi-supervised machine learning model can provide for classifying an input data point as associated with a particular target location or a particular action. Each data point comprises one or more sensor values from one or more signals emitted by one or more signal sources located within a physical area. A tagged sample set and an untagged sample set are combined to train the machine learning model. Each tagged sample includes a respective data point and a label representing a respective location/action. Each untagged sample includes a data point but is unlabeled. Once trained, given a current data point, the machine learning model can classify the current data point as associated with a particular location/action, after which a target object (e.g., other device or application to be used) can be predicted.
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公开(公告)号：US11601514B2
公开(公告)日：2023-03-07
申请号：US17496479
申请日：2021-10-07
Applicant: Apple Inc.
Inventor： Yoav Feinmesser , Rafi Vitory , Ron Eyal , Eyal Waserman , Yunxing Ye
Abstract: A semi-supervised machine learning model can provide for classifying an input data point as associated with a particular target location or a particular action. Each data point comprises one or more sensor values from one or more signals emitted by one or more signal sources located within a physical area. A tagged sample set and an untagged sample set are combined to train the machine learning model. Each tagged sample includes a respective data point and a label representing a respective location/action. Each untagged sample includes a data point, but is unlabeled. Once trained, given a current data point, the machine learning model can classify the current data point as associated with a particular location/action, after which a target object (e.g., other device or application to be used) can be predicted.
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Patent Agency Ranking
公开(公告)号：US20200077334A1
公开(公告)日：2020-03-05
申请号：US16550508
申请日：2019-08-26
Applicant: Apple Inc.
Inventor： Qi Wang , Christiaan A. Hartman , Oren Shani , Rafi Vitory , Roy Beeri , Yoav Feinmesser
Abstract: Methods for performing a ranging procedure according to the non-trigger-based protocol may include negotiating timing parameters associated with the ranging procedure, performing a ranging measurement, and transmitting/receiving, after completion of the ranging measurement, a message announcing initiation of another ranging measurement. The timing parameters may indicate a time window in which an initiating device can initiate a subsequent ranging measurement and the message announcing initiation of the second ranging measurement may be received during the time range specified. Timing parameters may indicate a responding device's required minimum and maximum time between ranging measurements. Additional parameters may indicate an initiating device's required minimum and maximum time between ranging measurements. A power savings mode may be entered after the first ranging measurement and during at least a portion of a time period specified by the parameters.
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公开(公告)号：US20250097963A1
公开(公告)日：2025-03-20
申请号：US18897021
申请日：2024-09-26
Applicant: Apple Inc.
Inventor： Oren Shani , Josef Peery , Leonid Vainbrand , Udi Atar , Yoav Feinmesser , Yoel Boger
Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations comprising periodically broadcasting, by a first wireless device, outgoing ranging packets on a measurement channel of a wireless network; receiving, by the first wireless device on the measurement channel and from a second wireless device, a plurality of incoming ranging data packets; and calculating, by the first wireless device and using a three ranging packet exchange with the second wireless device, a range to the second wireless device.
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公开(公告)号：US20240402211A1
公开(公告)日：2024-12-05
申请号：US18677583
申请日：2024-05-29
Applicant: Apple Inc.
Inventor： Jonathan R. Schoenberg , Yoav Feinmesser , Alexander Singh Alvarado , Evan G. Kriminger , Jonathan M. Beard , Hollie R. Figueroa , Eyal Waserman , Rafi Vitory , Ron Eyal , Yunxing Ye
Abstract: In some implementations, responsive to a trigger signal at an associated first time, a mobile device generating a first location value using a first ranging session with one or more other devices. The technique may include storing the first location value in a memory. The technique may include tracking, using a motion sensor of the mobile device, motion of the mobile device to determine a present location relative to the first location value. Further, the technique may include determining that a present location for the mobile device has changed by a predetermined threshold amount from the first location value since the associated first time. Responsive to the present location for the mobile device having changed by more than the predetermined threshold amount since the associated first time, the technique may include, generating a second location value using a second ranging session with the one or more other devices.
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公开(公告)号：US11849468B2
公开(公告)日：2023-12-19
申请号：US17484567
申请日：2021-09-24
Applicant: Apple Inc.
Inventor： Oren Shani , Josef Peery , Leonid Vainbrand , Udi Atar , Yoav Feinmesser , Yoel Boger
CPC classification number: H04W72/30 , H04B17/27 , H04L5/005 , H04W64/006
Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations comprising periodically broadcasting, by a first wireless device, outgoing ranging packets on a measurement channel of a wireless network; receiving, by the first wireless device on the measurement channel and from a second wireless device, a plurality of incoming ranging data packets; and calculating, by the first wireless device and using a three ranging packet exchange with the second wireless device, a range to the second wireless device.
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公开(公告)号：US20230400574A1
公开(公告)日：2023-12-14
申请号：US18140517
申请日：2023-04-27
Applicant: APPLE INC.
Inventor： Barak Baum , Yoav Feinmesser , Naftali Sommer
CPC classification number: G01S17/04 , G01S17/87 , G01S17/48 , G01S7/52004 , G01S15/04
Abstract: A technique for determining a presence of a person in a room may include an electronic device transmitting an electromagnetic wireless signal of a first sensor. The technique may include receiving an electromagnetic return signal from the electromagnetic wireless signal. The technique may include detecting a potential target in the room based on the electromagnetic return signal. The technique may include determining that the potential target is in the room using a second sensor. Responsive to determining the potential target is in the room, the technique may include saving a training signature of the electromagnetic return signal for training a machine learning model. This technique can be repeated to obtain a set of training signatures corresponding to potential targets. The technique may include training, using the set of training signatures, the machine learning model to detect when a target is in the room using the first sensor.
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