Abstract: 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.

Abstract: In one embodiment, a method is disclosed in which an analog sensor receives an electromagnetic (EM) wave (e.g., a radio frequency signal) from an interrogation device. The sensor converts a biological measurement of a subject into an electrical resistance and modulates a response to reflect the incident signal based on the electrical resistance. The sensor then provides the response to the interrogation device that corresponds to the biological measurement.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure provides an electrode, including a substrate and a plurality of carbon nanotube pillars disposed on the substrate, wherein at least two of the carbon nanotube pillars are disposed at a predetermined distance from each other. The invention further provides neurological and physiological sensing and stimulation techniques that utilize the electrode of the inventions, and to obtain data thereof for short or long duration using the electrodes of the invention.

Abstract: In one embodiment, a method is disclosed in which an analog sensor receives an electromagnetic (EM) wave (e.g., a radio frequency signal) from an interrogation device. The sensor converts a biological measurement of a subject into an electrical resistance and modulates a response to reflect the incident signal based on the electrical resistance. The sensor then provides the response to the interrogation device that corresponds to the biological measurement.