Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.

Abstract: A user interface device includes at least a biopotential sensor and a location sensor. The user interface device is constructed to be worn by a person. A responsive device, such as a computer, receives data based on the outputs from the biopotential sensor and the location sensor, and performs actions based on the received data. Primitive gestures detected in the received data are associated with inputs of an operating system of the responsive device. For a wrist-worn device, a primitive gesture can be based on a pose of the hand or location of a wrist or both. The association of primitive gestures with inputs of the operating system can include associating primitive gestures with mouse inputs, inputs to request launching an application or switching applications, or inputs to perform other operations.

Abstract: Among other things, first signals are received representing manipulation of a physical feature of a physical device by one or more fingers of a hand of a user. Second signals are received representing tissue electrical activity indicative of and occurring prior to the manipulation. The first signals and the second signals are processed to identify the occurrence of the manipulation. A control signal is sent to a game or other application with which the user is interacting. The control signal corresponds to the identified occurrence of the manipulation.

Abstract: A user interface device includes at least a biopotential sensor and a location sensor. The user interface device is constructed to be worn by a person. A responsive device, such as a computer, receives data based on the outputs from the biopotential sensor and the location sensor, and performs actions based on the received data. Primitive gestures detected in the received data are associated with inputs of an operating system of the responsive device. For a wrist-worn device, a primitive gesture can be based on a pose of the hand or location of a wrist or both. The association of primitive gestures with inputs of the operating system can include associating primitive gestures with mouse inputs, inputs to request launching an application or switching applications, or inputs to perform other operations.

Abstract: A user interface to a machine such as a computer or computer-controlled device, is implemented by a combination of a user interface device and a responsive device. The user interface device includes at least a biopotential sensor and a location sensor. The user interface device is constructed to be worn by a person so that a biopotential sensor is positioned at least at the top of the wrist. The responsive device receives data based on the outputs from the biopotential sensor and the location sensor, and performs actions based on the received data. The responsive device is responsive to the received data to perform operations based on primitive gestures detected in the received data. A primitive gesture can be based on a pose of the hand or location of the wrist or both. The operation performed also can be based on any other information from other sensors on the user interface device. The selected operation also can be based on any context information available to the responsive device.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Among other things, first signals are received representing manipulation of a physical feature of a physical device by one or more fingers of a hand of a user. Second signals are received representing tissue electrical activity indicative of and occurring prior to the manipulation. The first signals and the second signals are processed to identify the occurrence of the manipulation. A control signal is sent to a game or other application with which the user is interacting. The control signal corresponds to the identified occurrence of the manipulation.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Among other things, a user interface device has a sensor configured to detect, at a wrist of a human, nerve or other tissue electrical signals associated with an intended contraction of a muscle to cause a rapid motion of a finger. An output provides information representative of the nerve or other tissue electrical signals associated with the intended contraction of the muscle to an interpreter of the information.

Abstract: Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.