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：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.

公开(公告)号：US20240329277A1

公开(公告)日：2024-10-03

申请号：US18737920

申请日：2024-06-07

Applicant: Apple Inc.

Inventor： Vinay R. Majjigi ,  Bharath Narasimha Rao ,  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: G01V7/02 ,  G01V7/16 ,  G06N20/00 ,  H04W4/90

CPC classification number: G01V7/02 ,  G01V7/16 ,  G06N20/00 ,  H04W4/90

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 a crash event on a crash device; extracting multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features, wherein at least one multimodal feature is a rotation rate about a mean axis of rotation; and determining that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.