公开(公告)号：US20240127683A1

公开(公告)日：2024-04-18

申请号：US18536041

申请日：2023-12-11

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: 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 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：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：US20210005071A1

公开(公告)日：2021-01-07

申请号：US16929010

申请日：2020-07-14

Applicant: Apple Inc.

Inventor： Sheena Sharma ,  Umamahesh Srinivas ,  Adeeti V. Ullal ,  Xiaoyue Zhang ,  Hung A. Pham ,  Karthik Jayaraman Raghuram

IPC: G08B21/04 ,  A61B5/00 ,  G08B13/24 ,  A61B5/0205 ,  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 over a time period, where the one or more sensors are worn by a user, The mobile device determines, based on the motion data, an impact experienced by the user during the time of period, and determines one or more of characteristics of the user. The mobile device determines, based on the motion data and the one or more characteristics of the user, a likelihood that the user requires assistance subsequent to the impact, and generates one or more notifications based on likelihood.