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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：US20230390605A1
公开(公告)日：2023-12-07
申请号：US17952174
申请日：2022-09-23
Applicant: Apple Inc.
Inventor： Asif Khalak , Adeeti V. Ullal , Gabriel A. Blanco
CPC classification number: A63B24/0062 , G01C22/006 , G01C9/06 , A63B2220/18 , A63B2220/836
Abstract: Embodiments are disclosed for a biomechanical trigger for improved responsiveness in grade estimation. In some embodiments, a method comprises: A method comprises: obtaining, from a wearable device worn by a user, cadence data, speed data and elevation data; determining a grade of a surface on which the user is traveling based on a ratio of a change in elevation based on the elevation data and a change in speed data; determining that the grade satisfies a first condition indicative of a horizontal speed compensation by the user at a grade onset; determining that the grade satisfies a second condition indicative of a rapid elevation increase or decrease at a grade onset; and confirming that the grade is a valid estimate based on either the first condition or the second condition being satisfied.
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13.发明公开公开(公告)号：US20230389813A1
公开(公告)日：2023-12-07
申请号：US17952147
申请日：2022-09-23
Applicant: Apple Inc.
Inventor： Britni A. Crocker , Adeeti V. Ullal , Ayse S. Cakmak , Johahn Y. Leung , Katherine Niehaus , William R. Powers, III
CPC classification number: A61B5/02438 , A61B5/6824 , A61B5/7264
Abstract: Embodiments are disclosed for estimating heart rate recovery (HRR) after maximum or high-exertion activity based on sensor observations. In some embodiments, a method comprises: obtaining, with at least one processor, sensor data from a wearable device worn on a wrist of a user; obtaining, with the at least one processor, a heart rate (HR) of the user; identifying, with the at least one processor, an observation window of the sensor data and HR; estimating, with the at least one processor during the observation window, input features for estimating maximum or near maximum exertion HRR of the user based on the sensor data and HR; and estimating, with the at least one processor during the observation window, the maximum or near maximum exertion HRR of the user based on a machine learning model and the input features.
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公开(公告)号：US20230112071A1
公开(公告)日：2023-04-13
申请号：US17832571
申请日：2022-06-03
Applicant: Apple Inc.
Inventor： Asif Khalak , Mariah W. Whitmore , Maxsim L. Gibiansky , Richard A. Fineman , Jaehyun Bae , Sheena Sharma , Carolyn R. Oliver , Mark P. Sena , Maryam Etezadi-Amoli , Allison L. Gilmore , William R. Powers, III , Edith M. Arnold , Gabriel A. Blanco , Sohum R. Thakkar , Adeeti V. Ullal
Abstract: Embodiments are disclosed for assessing fall risk of a mobile device user. In some embodiments, a method comprises: obtaining one or more mobility metrics indicative of a user’s mobility, the mobility metrics obtained at least in part from sensor data output by at least one sensor of the mobile device; evaluating the one or more mobility metrics over one or more specified time periods to derive one or more longitudinal features; estimating a plurality of walking steadiness indicators based on a plurality of component models and the one or more longitudinal features; inferring the user’s risk of falling based at least in part on the plurality of walking steadiness indicators; and initiating an action or application on the mobile device based at least in part on the user’s risk of falling.
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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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Patent Agency Ranking
公开(公告)号：US20240273990A1
公开(公告)日：2024-08-15
申请号：US18628653
申请日：2024-04-05
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: G08B21/04 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/11 , G01C5/06 , G01C21/12 , G01S19/13 , G06F3/01 , G08B13/24
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：US20230392953A1
公开(公告)日：2023-12-07
申请号：US18205478
申请日：2023-06-02
Applicant: Apple Inc.
Inventor： Lucie A. Huet , Adeeti V. Ullal , Allison L. Gilmore , Gabriel A. Blanco , Karthik Jayaraman Raghuram , Maryam Etezadi-Amoli , Richard A. Fineman
CPC classification number: G01C22/006 , A61B5/112 , A61B5/681 , G01C25/00 , A61B2562/0219
Abstract: Embodiments are disclosed for stride length estimation and calibration at the wrist. In some embodiments, a method comprises: obtaining sensor data from a wearable device worn on a wrist of a user; deriving features from the sensor data; estimating a form-based stride length using an estimation model that takes the features and user height as input; and calibrating the form-based stride length. In other embodiments, user cadence and speed are used to estimate speed-based stride length which, upon certain conditions, is blended with the form-based stride length to get a final estimated stride length of the user.
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公开(公告)号：US20230147505A1
公开(公告)日：2023-05-11
申请号：US17985098
申请日：2022-11-10
Applicant: Apple Inc.
Inventor： Katherine Niehaus , Britni A. Crocker , Maxsim L. Gibiansky , William R. Powers, III , Allison L. Gilmore , Asif Khalak , Sheena Sharma , Richard A. Fineman , Kyle A. Reed , Karthik Jayaraman Raghuram , Adeeti V. Ullal
CPC classification number: A61B5/1118 , A61B5/4866
Abstract: Embodiments are disclosed for identifying poor cardio metabolic health using sensors of wearable devices. In an embodiment, a method comprises: obtaining estimates of maximal oxygen consumption of a user during exercise; determining at least one confidence weight based on context data; adjusting the maximal oxygen consumption estimates using the at least one confidence weight; aggregating the adjusted maximal oxygen consumption estimates to generate a summary maximal oxygen consumption estimate and corresponding confidence interval for the user; and classifying cardiorespiratory fitness of the user based on at least one of the summary maximum consumption estimate, the corresponding confidence interval, a population error model or a low cardiorespiratory fitness threshold.
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公开(公告)号：US11527140B2
公开(公告)日：2022-12-13
申请号：US16929043
申请日：2020-07-14
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 , 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 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：US11468759B2
公开(公告)日：2022-10-11
申请号：US16929043
申请日：2020-07-14
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 , 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 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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