Samsung Electronics Co., Ltd.

Sergi Consul Pacareu

Olivier Bau

Mike Digman

Philipp Schoessler

Bogdana Rakova

Martin Salvador

Phillipp Schoessler

In one embodiment, an apparatus includes an electrode that is coupled to a body of a user and is configured to receive a signal from the body. The received signal is based on an electromagnetic interference signal generated by an object that is external to the apparatus. The apparatus further includes one or more processors coupled to the electrode. The processors are configured to detect, based on the signal received by the electrode, one or more of: an interaction between the user and the object, an identity of the object, or a context surrounding the apparatus.

Electromagnetic interference signal detection

In one embodiment, a method includes receiving, by an electrode of a device, a signal from a user's body. The received signal is based on an electromagnetic interference signal generated by an object that is external to the device. The method further includes determining, using machine learning applied to the received signal, one or more of the following: an identity of the object, an interaction between the user and the object, or a context surrounding the device.

Processing electromagnetic interference signal using machine learning

In one embodiment, a method includes accessing a first context data associated with a first touch event on a first device and accessing a second context data associated with a touch event on the first device. The touch event has been detected by a second device. The method further includes comparing the first context data with the second context data and determining, based on the comparison, whether the first touch event is the touch event detected by the second device.

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Memphis, TN, United States of America

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