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公开(公告)号：US20240385066A1
公开(公告)日：2024-11-21
申请号：US18780272
申请日：2024-07-22
Applicant: Apple Inc.
Inventor： Lei Wang , William J. Bencze , Kumar Gaurav Chhokra , Fatemeh Ghafoori , Stephen P. Jackson , Cheng Jia , Yi-Wen Liao , Glenn D. Macgougan , Isaac T. Miller , Alexandru Popovici , Christina Selle , Aditya Narain Srivastava , Richard Warren , Michael P. Dal Santo , Pejman Lotfali Kazemi
Abstract: Described herein are techniques to enable a mobile device to perform multi-source estimation of an altitude for a location. A baseline altitude may be determined at ground level for a location and used to calibrate a barometric pressure sensor on the mobile device. The calibrated barometric pressure sensor can then estimate changes in altitude relative to ground level based on detected pressure differentials, allowing a relative altitude to ground to be determined. Baseline calibration for the barometric sensor calibration can be performed to determine an ambient ground-level barometric pressure.
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公开(公告)号：US12066344B2
公开(公告)日：2024-08-20
申请号：US17163180
申请日：2021-01-29
Applicant: Apple Inc.
Inventor： Lei Wang , William J. Bencze , Kumar Gaurav Chhokra , Fatemeh Ghafoori , Stephen P. Jackson , Cheng Jia , Yi-Wen Liao , Glenn D. Macgougan , Isaac T. Miller , Alexandru Popovici , Christina Selle , Aditya Narain Srivastava , Richard Warren , Michael P. Dal Santo , Pejman Lotfali Kazemi
CPC classification number: G01L27/005 , H04W4/025 , H04W4/38 , H04W4/90
Abstract: Described herein are techniques to enable a mobile device to perform multi-source estimation of an altitude for a location. A baseline altitude may be determined at ground level for a location and used to calibrate a barometric pressure sensor on the mobile device. The calibrated barometric pressure sensor can then estimate changes in altitude relative to ground level based on detected pressure differentials, allowing a relative altitude to ground to be determined. Baseline calibration for the barometric sensor calibration can be performed to determine an ambient ground-level barometric pressure.
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Patent Agency Ranking
公开(公告)号：US20240075895A1
公开(公告)日：2024-03-07
申请号：US18462271
申请日：2023-09-06
Applicant: Apple Inc.
Inventor： Vinay R. Majjigi , Sriram Venkateswaran , Aniket Aranake , Tejal Bhamre , Alexandru Popovici , Parisa Dehleh Hossein Zadeh , Yann Jerome Julien Renard , Yi Wen Liao , Stephen P. Jackson , Rebecca L. Clarkson , Henry Choi , Paul D. Bryan , Mrinal Agarwal , Ethan Goolish , Richard G. Liu , Omar Aziz , Alvaro J. Melendez Hasbun , David Ojeda Avellaneda , Sunny Kai Pang Chow , Pedro O. Varangot , Tianye Sun , Karthik Jayaraman Raghuram , Hung A. Pham
IPC: B60R21/013 , G06F18/213
CPC classification number: B60R21/013 , G06F18/213 , B60R2021/0027
Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.
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公开(公告)号：US20210396619A1
公开(公告)日：2021-12-23
申请号：US17163180
申请日：2021-01-29
Applicant: Apple Inc.
Inventor： Lei Wang , William J. Bencze , Kumar Gaurav Chhokra , Fatemeh Ghafoori , Stephen P. Jackson , Cheng Jia , Yi-Wen Liao , Glenn D. Macgougan , Isaac T. Miller , Alexandru Popovici , Christina Selle , Aditya Narain Srivastava , Richard Warren , Michael P. Dal Santo , Pejman Lotfali Kazemi
Abstract: Described herein are techniques to enable a mobile device to perform multi-source estimation of an altitude for a location. A baseline altitude may be determined at ground level for a location and used to calibrate a barometric pressure sensor on the mobile device. The calibrated barometric pressure sensor can then estimate changes in altitude relative to ground level based on detected pressure differentials, allowing a relative altitude to ground to be determined. Baseline calibration for the barometric sensor calibration can be performed to determine an ambient ground-level barometric pressure.
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公开(公告)号：US20240405900A1
公开(公告)日：2024-12-05
申请号：US18733658
申请日：2024-06-04
Applicant: Apple Inc.
Inventor： Jared K. McGann , Stephen P. Jackson , Adam M. Driscoll , Alexandru Popovici , Nicholas D. Felton , Todd R. Grooms
IPC: H04B17/318 , H04W4/02
Abstract: Waypoints can be automatically created by monitoring network wireless signal strength to help a user of a mobile device in a non-urban location to find a previous location with known network connectivity and make emergency calls. In some embodiments, a backtrack route is displayed on the mobile device to the closest previous location with network connectivity. In some embodiments, for privacy considerations, access to waypoint information stored in a secured storage/database is restricted based on the determination of location state, and backtrack routes are displayed in stages.
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公开(公告)号：US20240329277A1
公开(公告)日：2024-10-03
申请号：US18737920
申请日：2024-06-07
Applicant: Apple Inc.
Inventor： Vinay R. Majjigi , Bharath Narasimha Rao , Sriram Venkateswaran , Aniket Aranake , Tejal Bhamre , Alexandru Popovici , Parisa Dehleh Hossein Zadeh , Yann Jerome Julien Renard , Yi Wen Liao , Stephen P. Jackson , Rebecca L. Clarkson , Henry Choi , Paul D. Bryan , Mrinal Agarwal , Ethan Goolish , Richard G. Liu , Omar Aziz , Alvaro J. Melendez Hasbun , David Ojeda Avellaneda , Sunny Kai Pang Chow , Pedro O. Varangot , Tianye Sun , Karthik Jayaraman Raghuram , Hung A. Pham
Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone. In some embodiments, a method comprises: detecting a crash event on a crash device; extracting multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features, wherein at least one multimodal feature is a rotation rate about a mean axis of rotation; and determining that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.
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7.发明公开公开(公告)号：US20240085185A1
公开(公告)日：2024-03-14
申请号：US18462324
申请日：2023-09-06
Applicant: Apple Inc.
Inventor： Stephen P. Jackson , Ti-Yen Lan , Yi Wen Liao , Alexandru Popovici , Igor Tchertkov , Rose M. Wahlin , Natisa Jeyakanthan , Amit K. Jain , Kenneth M. Lee
IPC: G01C21/16
CPC classification number: G01C21/165 , G01C21/183
Abstract: Embodiments are disclosed for submersion detection and underwater depth and low-latency temperature estimation. In an embodiment, a method comprises: determining a first set of vertical accelerations obtained from an inertial sensor of a wearable device; determining a second set of vertical accelerations obtained from pressure data; determining a first feature associated with a correlation between the first and second sets of vertical accelerations; and determining that the wearable device is submerged or not submerged in water based on a machine learning model applied to the first feature. In another embodiment, a method comprises: determining a submersion state of a wearable device; and responsive to the submersion state being submerged, computing a forward estimate of water temperature based on measured ambient water temperature at the water surface, a temperature error lookup table, and a rate of change of the ambient water temperature.
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