Processing Electromagnetic Interference Signal Using Machine Learning

An apparatus comprising:

• an electrode;
• and
• one or more processors coupled to the electrode and configured to:
• determine that a signal received by an electrode of a device from a body of a user is based on an electromagnetic interference signal generated by an object that is external to the device;
• and
• determine one or more of the following based on machine learning applied to the received signal:
• an identity of the object;
• an interaction between the user and the object;
• or
• a context surrounding the device.

One or more non-transitory computer-readable storage media embodying logic that is operable when executed by one or more processors to:

• determine that a signal received by an electrode of a device from a body of a user is based on an electromagnetic interference signal generated by an object that is external to the device;
• and
• determine one or more of the following based on machine learning applied to the received signal:
• an identity of the object;
• an interaction between the user and the object;
• or
• a context surrounding the device.