Apple Inc.

Huayu Ding

Hung A Pham

Karthik Jayaraman Raghuram

Xing Tan

Yann Jerome Julien Renard

Xiaoyuan Tu

Alexander Singh Alvarado

Umamahesh Srinivas

Hengliang Zhang

Parisa Dehleh Hossein Zadeh

Sheena Sharma

Harshavardhan Mylapilli

Geoffrey Louis Chi-Johnston

Vivek Garg

Vinay R Majjigi

Xiaoyue Zhang

Sriram Venkateswaran

Omar Aziz

Parisa Deleh Hossein Zadeh

Manjunath Shankar Rao

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.

Detecting falls using a mobile device

In an example method, a mobile device obtains a database including a plurality of data records. Each data record includes an indication of a respective impact previously experienced by a user of the mobile device, and sensor data generated by one or more first sensors worn by the user during that impact. The mobile device obtains sensor data generated by one or more second sensors worn by the user over a period of time, and determines whether the user has fallen during the period of time based on the database and the additional sensor data. The mobile device generates one or more notifications based on the determination of whether the user has fallen during the period of time.

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Santa Clara, CA, United States of America

Huayu Ding