Samsung Electronics Co., Ltd.

Tianwei Xing

Wenjun Jiang

Xun Chen

A method for detecting a drop event of an electronic device, may include: obtaining an angular velocity and a proper acceleration of the electronic device based on sensor data received from an inertial measurement unit (IMU) sensor of the electronic device; obtaining centripetal acceleration of the electronic device based on the angular velocity, principal moments of inertia of the electronic device, and position of the IMU sensor within the electronic device; based on an acceleration difference between the centripetal acceleration and the proper acceleration, determining whether the electronic device is in a fall state; and based on the electronic device being determined to be in the fall state, providing an analysis result of the drop event.

Apparatus and method for detecting device drop

A method includes receiving wireless fingerprint data identifying multiple locations within a specified area and, for each location, one or more signal strength values associated with wireless signals received from one or more of multiple wireless transmitters. The wireless fingerprint data is missing signal strength values for one or more transmitters at one or more specific locations. The method also includes generating a training dataset by adding filler signal strength values in place of at least some missing values. The method further includes training a machine learning model using the training dataset. The model is trained to receive a specified location as input and generate predicted signal strength values as outputs. In addition, the method includes using the trained model to generate additional signal strength values. At least some additional signal strength values are to be used in place of at least a portion of the missing values.

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Santa Clara, CA, United States of America

Tianwei Xing