Abstract: The disclosed system for interacting with objects in an extended reality (XR) environment generated by an XR system may include (1) neuromuscular sensors configured to sense neuromuscular signals from a wrist of a user and (2) at least one computer processor programmed to (a) determine, based at least in part on the sensed neuromuscular signals, information relating to an interaction of the user with an object in the XR environment and (b) instruct the XR system to, based on the determined information relating to the interaction of the user with the object, augment the interaction of the user with the object in the XR environment. Other embodiments of this aspect include corresponding apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Abstract: Computerized systems, methods, kits, and computer-readable media storing code for implementing the methods are provided for interacting with a physical object in an augmented reality (AR) environment generated by an AR system. One such system includes: a plurality of neuromuscular sensors able to sense a plurality of neuromuscular signals from a user, and at least one computer processor. The neuromuscular sensors are arranged on one or more wearable devices worn by the user to sense the neuromuscular signals. The at least one computer processor is or are programmed to: determine, based at least in part, on the neuromuscular signals sensed by the neuromuscular sensors, information about an interaction of the user with the physical object in the AR environment generated by the AR system; and instruct the AR system to provide feedback based, at least in part, on the information about the interaction of the user with the physical object.

Abstract: Computerized systems, methods, kits, and computer-readable media storing code for implementing the methods are provided for interacting with a physical object in an augmented reality (AR) environment generated by an AR system. One such system includes: a plurality of neuromuscular sensors able to sense a plurality of neuromuscular signals from a user, and at least one computer processor. The neuromuscular sensors are arranged on one or more wearable devices worn by the user to sense the neuromuscular signals. The at least one computer processor is or are programmed to: determine, based at least in part, on the neuromuscular signals sensed by the neuromuscular sensors, information about an interaction of the user with the physical object in the AR environment generated by the AR system; and instruct the AR system to provide feedback based, at least in part, on the information about the interaction of the user with the physical object.

Abstract: Methods and apparatus for authenticating a user based on neuromuscular signals. The method comprises recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user; deriving a neuromuscular signature for the user from the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, wherein the neuromuscular signature is indicative of at least one personal characteristic of the user detected in the plurality of neuromuscular signals; and authenticating the user based on the derived neuromuscular signature.

Abstract: Computerized systems, methods, and computer-readable storage media storing code for implementing the methods are described for providing dynamically-updated musculoskeletal information. One such system includes a processor is programmed to: provide, as an input to a trained inference model, information based on a plurality of neuromuscular signals from a user and information based on at least one image of the user; determine, based on an output of the trained inference model, position information describing a spatial relationship between two or more connected musculoskeletal segments of the user and/or force information describing a force exerted by at least one musculoskeletal segment of the user; and output the position information and/or the force information.

Abstract: Computerized systems, methods, and computer-readable storage media storing code for implementing the methods are provided for training an inference model used to generate a musculoskeletal representation. One such system includes a processor programmed to: determine, based on information obtained from at least one image, position information describing a spatial relationship between two or more connected musculoskeletal segments of a user; determine, based on a plurality of neuromuscular signals, force information; associate the position information with the force information; train an inference model to output a musculoskeletal representation consistent with the position information and/or the force information when neuromuscular input signals provided to the inference model have at least one predetermined characteristic, to produce an updated inference model; and cause the updated inference model to be stored in a memory.

Abstract: Computerized systems, methods, kits, and computer-readable media storing code for implementing the methods are provided for interacting with a physical object in an augmented reality (AR) environment generated by an AR system. One such system includes: a plurality of neuromuscular sensors able to sense a plurality of neuromuscular signals from a user, and at least one computer processor. The neuromuscular sensors are arranged on one or more wearable devices worn by the user to sense the neuromuscular signals. The at least one computer processor is or are programmed to: determine, based at least in part, on the neuromuscular signals sensed by the neuromuscular sensors, information about an interaction of the user with the physical object in the AR environment generated by the AR system; and instruct the AR system to provide feedback based, at least in part, on the information about the interaction of the user with the physical object.

Abstract: Computerized systems, methods, kits, and computer-readable storage media storing code for implementing the methods are provided for controlling an extended reality (XR) system. One such system includes: one or more neuromuscular sensors that sense neuromuscular signals from a user, and at least one computer processor. The neuromuscular sensor(s) is or are arranged on one or more wearable devices structured to be worn by the user to sense the neuromuscular signals. The at least one computer processor is or are programmed to: identify a first muscular activation state of the user based on the neuromuscular signals; determine, based on the first muscular activation state, an operation of an XR system to be controlled; identify a second muscular activation state of the user based on the neuromuscular signals; and output, based on the second muscular activation state, a control signal to the XR system to control the operation of the XR system.

Abstract: Computerized systems, methods, and computer-readable storage media storing code for implementing the methods are provided for training an inference model used to generate a musculoskeletal representation. One such system includes a processor programmed to: determine, based on information obtained from at least one image, position information describing a spatial relationship between two or more connected musculoskeletal segments of a user; determine, based on a plurality of neuromuscular signals, force information; associate the position information with the force information; train an inference model to output a musculoskeletal representation consistent with the position information and/or the force information when neuromuscular input signals provided to the inference model have at least one predetermined characteristic, to produce an updated inference model; and cause the updated inference model to be stored in a memory.

Abstract: Computerized systems, methods, and computer-readable storage media storing code for implementing the methods are provided, in which camera information is used to calibrate one or more inference models used to generate a musculoskeletal representation. One such system includes at least one camera configured to capture at least one image, a plurality of neuromuscular sensors configured to sense and record a plurality of neuromuscular signals from a user, and at least one computer processor. The plurality of neuromuscular sensors are arranged on one or more wearable devices structured to be worn by the user to obtain the plurality of neuromuscular signals. The at least one computer processor is programmed to calibrate the one or more inference models by updating at least one parameter associated with the one or more inference models based, at least in part, on the plurality of neuromuscular signals and the at least one image.

Abstract: Computerized systems, methods, and computer-readable storage media storing code for implementing the methods are described for providing dynamically-updated musculoskeletal information. One such system includes a processor is programmed to: provide, as an input to a trained inference model, information based on a plurality of neuromuscular signals from a user and information based on at least one image of the user; determine, based on an output of the trained inference model, position information describing a spatial relationship between two or more connected musculoskeletal segments of the user and/or force information describing a force exerted by at least one musculoskeletal segment of the user; and output the position information and/or the force information.

Abstract: Methods and apparatus for authenticating a user based on neuromuscular signals. The method comprises recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user; deriving a neuromuscular signature for the user from the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, wherein the neuromuscular signature is indicative of at least one personal characteristic of the user detected in the plurality of neuromuscular signals; and authenticating the user based on the derived neuromuscular signature.

Abstract: A high pressure fuel pump unit and assembly is provided which includes a pump barrel containing a bore, a pump plunger mounted in the bore for reciprocal movement between an advanced position and a retracted position, and a force transmitting device for transmitting axial loads to the plunger while minimizing side loads on the plunger. The force transmitting device includes an extension member extending into the inner radial extent of a bias spring and including a distal supporting end positioned in uncoupled abutment against a driven end of the pump plunger to form a decoupled force transmitting interface. The pump plunger and extension member are capable of relative lateral movement at the decoupled force transmitting interface which is positioned a spaced axial distance from the outer end of the pump barrel when the pump plunger is in the advanced position.