The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 02, 2025
Filed:
Sep. 06, 2023
Apple Inc., Cupertino, CA (US);
Vinay R. Majjigi, Mountain View, CA (US);
Sriram Venkateswaran, Sunnyvale, CA (US);
Aniket Aranake, San Jose, CA (US);
Tejal Bhamre, Mountain View, CA (US);
Alexandru Popovici, Santa Clara, CA (US);
Parisa Dehleh Hossein Zadeh, San Jose, CA (US);
Yann Jerome Julien Renard, San Carlos, CA (US);
Yi Wen Liao, San Jose, CA (US);
Stephen P. Jackson, San Francisco, CA (US);
Rebecca L. Clarkson, San Francisco, CA (US);
Henry Choi, Cupertino, CA (US);
Paul D. Bryan, San Jose, CA (US);
Mrinal Agarwal, San Jose, CA (US);
Ethan Goolish, Mountain View, CA (US);
Richard G. Liu, Sherman Oaks, CA (US);
Omar Aziz, Santa Clara, CA (US);
Alvaro J. Melendez Hasbun, San Francisco, CA (US);
David Ojeda Avellaneda, San Francisco, CA (US);
Sunny Kai Pang Chow, San Jose, CA (US);
Pedro O. Varangot, San Francisco, CA (US);
Tianye Sun, Sunnyvale, CA (US);
Karthik Jayaraman Raghuram, Foster City, CA (US);
Hung A. Pham, Oakland, CA (US);
Lauren Schutz, San Francisco, CA (US);
Apple Inc., Cupertino, CA (US);
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.