Abstract: Methods and apparatus for controlling a physical object in an environment based, at least in part, on neuromuscular signals. The method comprises recording a plurality of neuromuscular signals from a plurality of neuromuscular sensors arranged on one or more wearable devices worn by a user, receiving a selection of a physical object within the environment, and controlling, based at least in part on the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, an operation of the selected object within the environment.

Abstract: The disclosed systems and methods are generally directed generating user control schemes based on neuromuscular data. The disclosed systems and methods may comprise feature space or latent space representations of neuromuscular data to train users and for users to achieve greater neuromuscular control of machines and computers. In certain embodiments, the systems and methods employ multiple distinct inferential models (e.g., full control schemes using inferential models trained in multiple regions of a feature space). Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods and apparatus for controlling a physical object in an environment based, at least in part, on neuromuscular signals. The method comprises recording a plurality of neuromuscular signals from a plurality of neuromuscular sensors arranged on one or more wearable devices worn by a user, receiving a selection of a physical object within the environment, and controlling, based at least in part on the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, an operation of the selected object within the environment.