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.

公开(公告)号：US20240090782A1

公开(公告)日：2024-03-21

申请号：US18517940

申请日：2023-11-22

Applicant: Apple Inc.

Inventor： Bharath Narasimha Rao ,  Jennifer Strasser ,  Umamahesh Srinivas ,  Kevin Sheridan ,  James Ochs ,  Vinay R. Majjigi ,  Karthik Jayaraman Raghuram ,  Olivier Humblet ,  Jay Kriz Blahnik

IPC: A61B5/024 ,  A61B5/00 ,  A61B5/083 ,  A61B5/11 ,  A61B5/1455 ,  A61B5/1495 ,  A63B22/02 ,  G01C22/00

CPC classification number: A61B5/024 ,  A61B5/0022 ,  A61B5/02416 ,  A61B5/0833 ,  A61B5/1118 ,  A61B5/1123 ,  A61B5/14551 ,  A61B5/1495 ,  A61B5/4866 ,  A61B5/6824 ,  A61B5/6831 ,  A61B5/6895 ,  A61B5/7275 ,  A63B22/02 ,  G01C22/006 ,  A61B5/0531 ,  A61B2562/0219 ,  A63B2230/06

Abstract: In an embodiment, a method comprises: establishing, by a wireless wearable computer worn by a user, a wireless communication connection with a fitness machine; obtaining 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 a calibrated maximal oxygen consumption of the user based on the heart rate data and the machine data; determining a heart rate caloric expenditure based on the heart rate data and the calibrated maximal oxygen consumption of the user; and providing information corresponding to the heart rate caloric expenditure for presentation.

公开(公告)号：US11896368B2

公开(公告)日：2024-02-13

申请号：US15691245

申请日：2017-08-30

Applicant: Apple Inc.

Inventor： Bharath Narasimha Rao ,  Craig H. Mermel ,  Karthik Jayaraman Raghuram ,  Hung A. Pham ,  Adam S. Howell ,  Rami Y. Hindiyeh ,  James P. Ochs ,  Vinay R. Majjigi ,  Alexander Singh Alvarado ,  Sunny K. Chow ,  Umamahesh Srinivas ,  Xing Tan ,  Ronald K. Huang ,  Edith Merle Arnold ,  Robin T. Guers ,  Gunes Dervisoglu ,  Adeeti Ullal

IPC: A61B5/11 ,  A63B24/00 ,  A61B5/00 ,  A61B5/024 ,  G01C22/00 ,  H04W4/02 ,  G01P15/14 ,  A61B5/0205 ,  G06V40/20 ,  G06F18/2135 ,  G06F18/2411

CPC classification number: A61B5/1112 ,  A61B5/0205 ,  A61B5/02438 ,  A61B5/1114 ,  A61B5/1118 ,  A61B5/1122 ,  A61B5/681 ,  A63B24/0062 ,  G01C22/00 ,  G01C22/006 ,  G01P15/14 ,  G06F18/2135 ,  G06F18/2411 ,  G06V40/23 ,  H04W4/027 ,  A63B2024/0071

Abstract: The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.

公开(公告)号：US11842615B2

公开(公告)日：2023-12-12

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

IPC: G08B1/08 ,  G08B21/04 ,  A61B5/00 ,  G08B13/24 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/11 ,  G01C5/06 ,  G01C21/12 ,  G01S19/13 ,  G06F3/01

CPC classification number: G08B21/0446 ,  A61B5/002 ,  A61B5/024 ,  A61B5/0205 ,  A61B5/1112 ,  A61B5/1117 ,  A61B5/1121 ,  A61B5/1123 ,  A61B5/681 ,  A61B5/7246 ,  A61B5/7264 ,  A61B5/742 ,  A61B5/7405 ,  A61B5/746 ,  A61B5/747 ,  A61B5/7455 ,  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 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.

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

IPC: G01C22/00 ,  A61B5/11 ,  A61B5/00 ,  G01C25/00

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.

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

IPC: A61B5/11 ,  A61B5/00

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.

公开(公告)号：US11647321B2

公开(公告)日：2023-05-09

申请号：US16409022

申请日：2019-05-10

Applicant: Apple Inc.

Inventor： Adam S. Howell ,  Hung A. Pham ,  Akifumi Kobashi ,  Rami Y. Hindiyeh ,  Xing Tan ,  Alexander Singh Alvarado ,  Karthik Jayaraman Raghuram

IPC: H04R1/10 ,  H04R29/00

CPC classification number: H04R1/1041 ,  H04R1/1016 ,  H04R29/001 ,  H04R2420/07

Abstract: Ear buds may have optical proximity sensors and accelerometers. Control circuitry may analyze output from the optical proximity sensors and the accelerometers to identify a current operational state for the ear buds. The control circuitry may also analyze the accelerometer output to identify tap input such as double taps made by a user on ear bud housings. Samples in the accelerometer output may be analyzed to determine whether the samples associated with a tap have been clipped. If the samples have been clipped, a curve may be fit to the samples. Optical sensor data may be analyzed in conjunction with potential tap input data from the accelerometer. If the optical sensor data is ordered, a tap input may be confirmed. If the optical sensor data is disordered, the control circuitry can conclude that accelerometer data corresponds to false tap input associated with unintentional contact with the housing.

公开(公告)号：US11638556B2

公开(公告)日：2023-05-02

申请号：US17033634

申请日：2020-09-25

Applicant: Apple Inc.

Inventor： Di Wu ,  James Ochs ,  Paige N. Stanley ,  Karthik Jayaraman Raghuram

IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/11 ,  G16H20/30 ,  G16H40/67 ,  G16H50/30 ,  G16H10/60 ,  A61B5/024 ,  A61B5/145

Abstract: Embodiments are disclosed for estimating caloric expenditure using a heart rate model specific to a motion class. In an embodiment, a method comprises: obtaining acceleration and rotation rate from motion sensors of a wearable device; determining a vertical component of inertial acceleration and a vertical component of rotational acceleration from the acceleration and rotation rate, respectively; determining a magnitude of the rotation rate; determining a correlation between the inertial vertical acceleration component and rotational acceleration; determining a percentage of motion outside a dominant plane of motion; predicting a motion class based on a motion classification model that takes as input the motions, correlation and percentage; determining a likelihood the user is walking; in accordance with determining that the user is likely not walking, configuring a heart rate model based on the predicted motion class; and estimating, using the configured heart rate model, a caloric expenditure of the user.

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.

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.