Abstract: Among other things, a received inbound message is presented to a person wearing a wearable device. The inbound message is presented to the person as perceptible stimulation at the skin of the person. Monitoring is done for presence of an outbound message derived from biopotential signals sensed at the skin of the person after the receipt of the inbound message.

Abstract: Systems and methods for gesture-based control are described. In some embodiments, a system may include a device configured to be worn at a person's wrist. The wearable device may include a biopotential sensor, a wrist location sensor, and a wireless transmitter. The system may have a first state and a second state. In the first state, the system may be configured to classify first data based on an output from the wrist location sensor to detect a wake word gesture. In the second state, the system may be configured to classify second data to detect a second gesture, the second data being based on both wrist location data and biopotential data. The system may be configured to transition from the first state to the second state based, at least in part, on a detection of the wake word gesture.

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: System and methods for gesture-based control are described. In some embodiments, a system may include a wearable device configured to be worn at a person's wrist. The wearable device may include a biopotential sensor and a wrist motion sensor. The system may be configured to determine that the person performed an initial gesture based on biopotentials detected by the biopotential sensor. The system may be configured to determine that the person performed a supplemental gesture based on at least the wrist motion data obtained by the wrist motion sensor. The system may be further configured to generate a command to be executed by a responsive device based on the combination of at least the initial gesture and the supplemental gesture.

Abstract: Systems and methods for selecting a target are provided. In some embodiments, a system may include a wearable device having one or more sensors. The sensors may be configured to detect physiological data and wrist location data. In some embodiments, the system may be configured to determine: (i) a vector intended by a user based on at least the wrist location data, and (ii) a gesture indicating an intention to make a selection based on at least the physiological data. The system may be configured to select a target indicated by the directional vector as determined when the gesture indicating the intention to make a selection is detected.

Abstract: An apparatus includes a sensor constructed to be worn by a person and configured to sense information indicative of a direction intended by the person. The apparatus includes a processor, and storage for instructions executable by the processor. When executing the instructions, the processor determines the direction based on the information sensed by the sensor, and, based on the direction and a location of the person, determines a geographic location. The sensor can include a biopotential signal from which an intended gesture by the person can be determined.

Abstract: Systems and methods for position-based gesture control are described. In some embodiments, a system may include a wearable device including a biopotential sensor and a location sensor. The system may be configured to determine that a body part is in a first position relative to a person's body, detect a first gesture, and, in response, direct a first instruction to a first destination. The system may be further configured to determine that a body part is in a second position relative to the person's body, detect a second gesture, and, in response, direct a second instruction to a second destination different than the first destination.

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 received inbound message is presented to a person wearing a wearable device. The inbound message is presented to the person as tactile stimulation of skin of the person. Monitoring is done for presence of an outbound message derived from biopotential signals sensed at the skin of the person after the receipt of the inbound message.

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: 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: 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: 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.