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

IPC: G16H50/30 ,  G16H40/67 ,  G06N20/20 ,  A61B5/11 ,  A61B5/00

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.

公开(公告)号：US20230124158A1

公开(公告)日：2023-04-20

申请号：US17832569

申请日：2022-06-03

Applicant: Apple Inc.

Inventor： Mariah W. Whitmore ,  Jaehyun Bae ,  Richard A. Fineman ,  Sheena Sharma ,  Asif Khalak ,  Adeeti V. Ullal

IPC: A61B5/11 ,  A61B5/00

Abstract: Embodiments are disclosed for assessing walking steadiness of a mobile device user. In some embodiments, a method comprises: obtaining, with at least one processor of a mobile device, one or more mobility metrics indicative of a user's mobility, the mobility metrics obtained at least in part from a time series of sensor data output by at least one sensor of the mobile device; evaluating, with the at least one processor, the one or more mobility metrics over one or more specified time periods to derive one or more longitudinal features indicative of variability of the user's gait; and generating, with the at least one processor, at least one walking steadiness indicator for the user based on one or more walking steadiness component models and the one or more longitudinal features. Also disclosed are embodiments for training the component models.

公开(公告)号：US20210393166A1

公开(公告)日：2021-12-23

申请号：US17356355

申请日：2021-06-23

Applicant: Apple Inc.

Inventor： Matthew S. DeMers ,  Edith M. Arnold ,  Adeeti V. Ullal ,  Vinay R. Majjigi ,  Mariah W. Whitmore ,  Mark P. Sena ,  Irida Mance ,  Richard A. Fineman ,  Jaehyun Bae ,  Maxsim L. Gibiansky ,  Gabriel A. Blanco ,  Daniel Trietsch ,  Rebecca L. Clarkson ,  Karthik Jayaraman Raghuram

IPC: A61B5/11 ,  A61B5/00

Abstract: In an example method, a computing device obtains sensor data generated by one or more accelerometers and one or more gyroscopes over a time period, including an acceleration signal indicative of an acceleration measured by the one or more accelerometers over a time period, and an orientation signal indicative of an orientation measured by the one or more gyroscopes over the time period. The one or more accelerometers and the one or more gyroscopes are physically coupled to a user walking along a surface. The computing device identifies one or more portions of the sensor data based on one or more criteria, and determines characteristics regarding a gait of the user based on the one or more portions of the sensor data, including a walking speed of the user and an asymmetry of the gait of the user.

公开(公告)号：US20240315601A1

公开(公告)日：2024-09-26

申请号：US18736346

申请日：2024-06-06

Applicant: Apple Inc.

Inventor： Matthew S. DeMers ,  Edith M. Arnold ,  Adeeti V. Ullal ,  Vinay R. Majjigi ,  Mariah W. Whitmore ,  Mark P. Sena ,  Irida Mance ,  Richard A. Fineman ,  Jaehyun Bae ,  Maxsim L. Gibiansky ,  Gabriel A. Blanco ,  Daniel Trietsch ,  Rebecca L. Clarkson ,  Karthik Jayaraman Raghuram

IPC: A61B5/11 ,  A61B5/00

CPC classification number: A61B5/112 ,  A61B5/1121 ,  A61B5/1126 ,  A61B5/7278 ,  A61B2560/0257 ,  A61B2562/0219

Abstract: In an example method, a computing device obtains sensor data generated by one or more accelerometers and one or more gyroscopes over a time period, including an acceleration signal indicative of an acceleration measured by the one or more accelerometers over a time period, and an orientation signal indicative of an orientation measured by the one or more gyroscopes over the time period. The one or more accelerometers and the one or more gyroscopes are physically coupled to a user walking along a surface. The computing device identifies one or more portions of the sensor data based on one or more criteria, and determines characteristics regarding a gait of the user based on the one or more portions of the sensor data, including a walking speed of the user and an asymmetry of the gait of the user.

公开(公告)号：US20230392932A1

公开(公告)日：2023-12-07

申请号：US18205480

申请日：2023-06-02

Applicant: Apple Inc.

Inventor： Mark P. Sena ,  Jaehyun Bae

IPC: G01C21/16

CPC classification number: G01C21/16

Abstract: Embodiments are disclosed for real time estimation of DoT. In some embodiments, a method comprises: obtaining inertial acceleration data from a motion sensor of a mobile device worn or held by a user; computing a frequency spectrum of the acceleration data to generate horizontal and vertical frequency components at a step frequency of the user; constructing an acceleration trajectory of the horizontal frequency components in a horizontal reference frame, the horizontal frequency components forming an ellipse in the horizontal reference frame; determining a maximum radius vector of the ellipse; determining an angle to DoT based on the maximum radius vector; disambiguating a sign of the angle; and determining the disambiguated angle as the DoT.