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公开(公告)号：US12027027B2
公开(公告)日：2024-07-02
申请号：US17945977
申请日：2022-09-15
Applicant: Apple Inc.
Inventor： Hung A. Pham , Stephen P. Jackson , Vinay R. Majjigi , Karthik Jayaraman Raghuram , Adeeti V. Ullal , Yann Jerome Julien Renard , Telford Earl Forgety, III
IPC: G08B1/08 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/11 , G01C5/06 , G01C21/12 , G01S19/13 , G06F3/01 , G08B13/24 , G08B21/04
CPC classification number: G08B21/0446 , A61B5/002 , A61B5/0205 , A61B5/024 , A61B5/1112 , A61B5/1117 , A61B5/1121 , A61B5/1123 , A61B5/681 , A61B5/7246 , A61B5/7264 , A61B5/7405 , A61B5/742 , A61B5/7455 , A61B5/746 , A61B5/747 , G01C5/06 , G01C21/12 , G01S19/13 , G06F3/011 , G08B13/2454 , A61B2503/10 , A61B2560/0242 , A61B2562/0219
Abstract: In an example method, a mobile device obtains sample data generated by one or more sensors over a period of time, where the one or more sensors are worn by a user. The mobile device determines that the user has fallen based on the sample data, and determines, based on the sample data, a severity of an injury suffered by the user. The mobile device generates one or more notifications based on the determination that the user has fallen and the determined severity of the injury.
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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：US20240023830A1
公开(公告)日：2024-01-25
申请号：US18200545
申请日：2023-05-22
Applicant: Apple Inc.
Inventor： Thomas G. Salter , Adeeti V. Ullal , Alexander G. Bruno , Daniel M. Trietsch , Edith M. Arnold , Edwin Iskandar , Ioana Negoita , James J. Dunne , Johahn Y. Leung , Karthik Jayaraman Raghuram , Matthew S. DeMers , Thomas J. Moore
CPC classification number: A61B5/1107 , G06F3/012 , A61B5/1116
Abstract: In one implementation, a method is performed for tiered posture awareness. The method includes: while presenting a three-dimensional (3D) environment, via the display device, obtaining head pose information for a user associated with the computing system; determining an accumulated strain value for the user based on the head pose information; and in accordance with a determination that the accumulated strain value for the user exceeds a first posture awareness threshold: determining a location for virtual content based on a height value associated with the user and a depth value associated with the 3D environment; and presenting, via the display device, the virtual content at the determined location while continuing to present the 3D environment via the display device.
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公开(公告)号：US11282363B2
公开(公告)日：2022-03-22
申请号：US16929028
申请日：2020-07-14
Applicant: Apple Inc.
Inventor： Xing Tan , Umamahesh Srinivas , Adeeti V. Ullal , Hung A. Pham , Karthik Jayaraman Raghuram , Vinay R. Majjigi , Yann Jerome Julien Renard
IPC: G08B1/08 , G08B21/04 , G08B13/24 , A61B5/0205 , A61B5/00 , A61B5/024 , A61B5/11 , G01C5/06 , G01C21/12 , G01S19/13 , G06F3/01
Abstract: In an example method, a mobile device receives motion data obtained by one or more sensors worn by a user. The mobile device determines, based on the motion data, that the user has fallen at a first time and whether the user has moved between a second time and a third time subsequent to the first time. Upon determining that the user has not moved between the second time and the third time, the mobile device initiates a communication to an emergency response service at a fourth time after the third time. The communication includes an indication that the user has fallen and a location of the user.
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公开(公告)号：US20220036714A1
公开(公告)日：2022-02-03
申请号：US17499770
申请日：2021-10-12
Applicant: Apple Inc.
Inventor： Xing Tan , Huayu Ding , Parisa Dehleh Hossein Zadeh , Harshavardhan Mylapilli , Hung A. Pham , Karthik Jayaraman Raghuram , Yann Jerome Julien Renard , Sheena Sharma , Alexander Singh Alvarado , Umamahesh Srinivas , Xiaoyuan Tu , Hengliang Zhang , Geoffrey Louis Chi-Johnston , Vivek Garg
Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.
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Patent Agency Ranking
公开(公告)号：US10987006B2
公开(公告)日：2021-04-27
申请号：US16129664
申请日：2018-09-12
Applicant: Apple Inc.
Inventor： Bharath Narasimha Rao , Jennifer Strasser , Umamahesh Srinivas , Kevin Sheridan , James Ochs , Vinay R. Majjigi , Karthik Jayaraman Raghuram , Olivier Humblet , Jay Blahnik
IPC: A61B5/024 , A61B5/083 , A61B5/11 , A63B22/02 , A61B5/00 , G01C22/00 , A61B5/1455 , A61B5/1495 , A61B5/0531 , A61B5/02 , A61B5/01
Abstract: Embodiments are disclosed for a wireless wearable computer with fitness machine connectivity for improved activity monitoring using caloric expenditure models. In an embodiment, a method comprises: establishing, by a processor of a wireless wearable computer worn by a user, a wireless communication connection with a fitness machine; obtaining, by the processor using the communication connection, machine data from the fitness machine while the user is engaged in a workout session on the fitness machine; obtaining, from a heart rate sensor of the wireless device, heart rate data of the user; determining, by the processor, a work rate caloric expenditure by applying a work rate calorie model to the machine data; determining, by the processor, a calibrated maximal oxygen consumption of the user based on the heart rate data and the work rate caloric expenditure; determining, by the processor, a heart rate caloric expenditure by applying a heart rate calorie model to the heart rate data and the calibrated maximal oxygen consumption of the user; and sending, by the processor to the fitness machine via the communication connection, at least one of the work rate caloric expenditure or the heart rate caloric expenditure.
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公开(公告)号：US10687752B2
公开(公告)日：2020-06-23
申请号：US15689113
申请日：2017-08-29
Applicant: Apple Inc.
Inventor： Hung A. Pham , Karthik Jayaraman Raghuram , Hengliang Zhang , Edith Merle Arnold
Abstract: A method and a system for determining an energy expenditure of a user by detecting unmeasurable loads using heart rate and work rate are described. Time-stamped heart rate data and work rate data can be collected by one or more sensing modules. A processor circuit can calculate a heart rate-based energy expenditure and a work rate-based energy expenditure. The processor circuit can output a hybrid energy expenditure based on a heart rate confidence parameter, an exercise type, a fraction of heart rate reserve, and a hear rate-based metabolic equivalents of task.
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公开(公告)号：US20190076063A1
公开(公告)日：2019-03-14
申请号：US16106763
申请日：2018-08-21
Applicant: Apple Inc.
Inventor： Ryan P. Kent , Karthik Jayaraman Raghuram , Stephen P. Jackson , Umamahesh Srinivas , Ahmad Bleik , Bharath Narasimha Rao
Abstract: The present disclosure relates to a system and method for improving an accuracy of a wearable device while detecting a ski activity by a user at a ski area. In one aspect, the method can include receiving motion data of the user from a motion sensing module of the wearable device. A heart rate sensing module can measure a heart rate of the user. One or more processor circuits can detect the user is gripping ski poles on a substantially flat ground based on the motion data and the heart rate of the user. The one or more processor circuits can calculate information about the user's performance during the ski activity and output the information about the user's performance during the ski activity.
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9.发明申请公开(公告)号：US20190008394A1
公开(公告)日：2019-01-10
申请号：US16129664
申请日：2018-09-12
Applicant: Apple Inc.
Inventor： Bharath Narasimha Rao , Jennifer Strasser , Umamahesh Srinivas , Kevin Sheridan , James Ochs , Vinay R. Majjigi , Karthik Jayaraman Raghuram , Olivier Humblet , Jay Blahnik
Abstract: Embodiments are disclosed for a wireless wearable computer with fitness machine connectivity for improved activity monitoring using caloric expenditure models. In an embodiment, a method comprises: establishing, by a processor of a wireless wearable computer worn by a user, a wireless communication connection with a fitness machine; obtaining, by the processor using the communication connection, machine data from the fitness machine while the user is engaged in a workout session on the fitness machine; obtaining, from a heart rate sensor of the wireless device, heart rate data of the user; determining, by the processor, a work rate caloric expenditure by applying a work rate calorie model to the machine data; determining, by the processor, a calibrated maximal oxygen consumption of the user based on the heart rate data and the work rate caloric expenditure; determining, by the processor, a heart rate caloric expenditure by applying a heart rate calorie model to the heart rate data and the calibrated maximal oxygen consumption of the user; and sending, by the processor to the fitness machine via the communication connection, at least one of the work rate caloric expenditure or the heart rate caloric expenditure.
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公开(公告)号：US09848823B2
公开(公告)日：2017-12-26
申请号：US14812870
申请日：2015-07-29
Applicant: Apple Inc.
Inventor： Karthik Jayaraman Raghuram , James M. Silva , Alexander Kanaris , Barker N. Bhaskaran
IPC: A61B5/02 , A61B5/00 , A61B5/0205 , A61B5/11 , A61B5/024
CPC classification number: A61B5/486 , A61B5/0205 , A61B5/02438 , A61B5/1118 , A61B5/681 , A61B5/721 , A61B5/7246 , A61B5/7278
Abstract: A device can estimate the heart rate of an active user by using a physiological model to refine a “direct” measurement of the user's heart rate obtained using a pulse sensor. The physiological model can be based on heart rate response to activity and can be informed by context information, such as the user's current activity and/or intensity level as well as user-specific parameters such as age, gender, general fitness level, previous heart rate measurements, etc. The physiological model can be used to predict a heart rate, and the prediction can be used to assess or improve the direct measurement.
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